About the Role
We are looking for a kdb+ / q Lead Developer with 8+ years of experience to own, architect, and lead enterprise-scale kdb+ platforms across our quantitative finance and capital markets technology estate. You will be the organisation's foremost kdb+ SME — designing high-performance, low-latency time-series platforms supporting real-time market data, tick data management, trade analytics, and risk calculation.

Key Responsibilities

• Own end-to-end kdb+ platform architecture — tickerplant, RDB, HDB, IDB, gateway, and CEP design at enterprise scale.
• Design and develop complex q / kdb+ solutions — streaming pipelines, historical analytics engines, feed handlers, and gateway services.
• Build and optimise kdb+ streaming architectures — integrating Kafka, Solace, Bloomberg B-PIPE, and Refinitiv Elektron for real-time market data ingestion.
• Implement PyKX / embedPy integrations — enabling Python-based quant analytics and data science workflows on kdb+ data.
• Lead kdb+ schema design, partitioning, performance tuning, memory management, and storage optimisation.
• Manage market data vendor integrations — Bloomberg, Refinitiv / LSEG, ICE — including feed configuration and entitlements management.
• Lead kdb+ cloud deployment on AWS / Azure — containerisation (Docker / Kubernetes) and cloud-native kdb+ platform design.
• Mentor and lead a team of kdb+ / q developers — code reviews, architectural guidance, and standards enforcement.
• Engage senior stakeholders — Quant Analysts, Traders, Risk Managers, CDO — presenting platform strategy and roadmap.
• Manage KX Systems vendor relationship — support escalations, licence management, and product roadmap alignment.

What We're Looking For

1. 8+ years of hands-on kdb+ / q development in capital markets or quantitative finance environments.
2. Expert q language proficiency — functional programming, performance optimisation, and complex analytics in production.
3. Deep kdb+ architecture expertise — tickerplant, RDB, HDB, IDB, gateway, and CEP at enterprise scale.
4. Strong market data knowledge — Bloomberg, Refinitiv, ICE feed management across equities, FX, fixed income, and derivatives.
5. Proven kdb+ streaming experience — Kafka or Solace integration for high-throughput real-time pipelines.
6. Strong Python / PyKX skills for quantitative analytics and kdb+ data science integration.
7. Experience with kdb+ cloud deployment — AWS / Azure, Docker, Kubernetes.
8. Demonstrated technical leadership — leading kdb+ teams and setting architectural standards.
9. Excellent communication skills — engaging traders, quant analysts, risk managers, and senior technology leadership.

Nice to Have

• KX Insights Enterprise / KX Platform experience.
• Low-latency networking — DPDK, RDMA, kernel bypass.
• Algorithmic trading infrastructure — OMS, EMS, FIX / ITCH protocol.
• kdb+ C API / FFI for native C / C++ integration.
• KX Developer Certification.
• Experience in Investment Banking, Hedge Fund, Asset Management, or HFT environment.

Years of experience: 8 Years

Location:

Job Description – Salesforce Lead (Revenue Cloud)

Role Summary

We are looking for an experienced Salesforce Lead – Revenue Cloud to lead the design, implementation, and optimization of Salesforce Revenue Cloud solutions. The ideal candidate will have strong hands-on expertise in Salesforce RLM and core Sales Cloud, along with the ability to guide teams, engage stakeholders, and ensure scalable, high-quality delivery.

Key Responsibilities

• Lead end-to-end implementation of Salesforce Revenue Cloud (RLM, Approvals).
• Product & Price Book modeling
• Complex pricing, discounting, and approval workflows
• Contract lifecycle and amendments
• Billing, invoicing, and revenue recognition (integration-level understanding)
• Act as technical and functional lead for Salesforce delivery teams.
• Collaborate with business stakeholders to gather requirements and translate them into scalable Salesforce solutions.
• Drive architecture decisions, best practices, and Salesforce standards.
• Review and guide development work (Apex, LWC, Flows, RLM configuration).
• Manage integrations with downstream systems (ERP, Finance, Tax, Order Management).
• Lead sprint planning, estimations, and release management.
• Support UAT, production rollout, and post-go-live stabilization.
• Mentor junior Salesforce developers and administrators.

Required Skills & Experience

• 8+ years of Salesforce experience with 3+ years in a Lead role
• Salesforce Revenue Cloud (RLM)
• Sales Cloud (Leads, Opportunities, Forecasting)
• Deep understanding of Quote-to-Cash (Q2C) processes
• RLM Configuration and Approvals
• Amendments, Renewals, Proration, Usage-based pricing
• Apex, LWC, Flows, Triggers
• Integration patterns (REST/SOAP, middleware preferred)
• Experience with Agile/Scrum delivery models
• Excellent stakeholder communication and leadership skills

Good to Have

• Experience with Revenue Recognition and financial integrations (SAP, Oracle, NetSuite, etc.)
• Salesforce Industries CPQ or Advanced Billing
• Experience in subscription-based or SaaS business models
• DevOps tools (Copado, Gearset)
• Experience in large enterprise or global implementations

Certifications (Preferred)

• Salesforce Sales Cloud Consultant
• Salesforce Platform Developer I / II
• Salesforce Revenue Cloud Consultant

Years of experience: 8 to 12 Years

Location:

Role Profile

As a senor data engineer your role will be to create and deliver high quality, resilient data solutions to our Fraud business partners and being a productive member of the development team. You will be working on various existing and new technology stacks which include on-prem relational and big-data technologies & new cloud-based technologies in AWS and Azure. You will be expected to share ownership of our projects and contribute to the active development and maintenance of our applications. You will have the opportunity to be exposed to modern software engineering tools and best practices.  You will have the opportunity to be exposed to how a large investment bank like Morgan Stanley detects and prevents fraud.  You will work in a dynamic agile team that uses Scrum for its workflow. You will be expected to be involved in the full development lifecycle. You will be expected to collaborate with others in the wider team as well as working on your own initiative.

Skills Required

• 5+ years of relevant work experience
• Strong with programming in Python to perform,  o Batch data engineering on Apache Spark and populate downstream batch data stores (such as data mart) for BI use cases & to generate downstream feeds (ie., flat & wide tables or compressed files) for Data Science use cases
• Strong with SQL Server & Hadoop based implementations
• Strong SQL skills
• Good hands-on experience with at least one of the job scheduling tools like Autosys (Preferred), Control-M etc.,
• Experience of working in a Linux environment and can write Python/Shell scripts
• Strong data analytics skills
• Strong oral and written communication skills
• Excellent interpersonal skills and professional approach
• Strong analytical and problem-solving skills
• Ability to learn quickly and pick up new techniques and/or technologies
• Experience in building & maintaining data solutions for BI & Data Science use cases

Skills Desired

• Experience in data architecture and modeling experience. Especially, in dimensional modeling for data mart design and development to support BI use cases
• Real-time service integration to process business events off Kafka and persist in operational MS SQL/MongoDB and/or Neo4j Graph data stores for fraud investigation  -     Near real-time stream processing to derive features for ML model inference. 
• Experience in Azure (Databricks, Data Factory, Synapse, Azure Data Lake) and/or AWS (AWS S3, AWS Athena, AWS Glue) Data ecosystem & Snowflake Data Cloud
• Experience in MongoDB and Neo4j Graph databases
• Experience in building virtual data access layer using TIBCO Data Virtualization to support BI & Data Science use cases
• Experience of the full software development life cycle
• Experience of working in an Agile team 
• Experience of working with version control systems
• Experience with bash scripting
• Experience of working with Continuous Integration systems
• Experience in Fraud detection and prevention business in Financial Services

Years of experience: 5 to 9 Years

Location:

About the Role

We are looking for a Senior Azure DevOps Engineer with 6+ years of experience to design, build, and operate enterprise-grade CI/CD pipelines, Azure cloud infrastructure, and automation workflows that enable engineering teams to deliver software reliably, securely, and at pace. You will take ownership of the end-to-end DevOps toolchain — from source control and pipeline automation through to infrastructure provisioning, container orchestration, and production observability. You will be a key enabler across delivery teams — embedding DevOps best practices, driving automation, and continuously improving the speed and quality of the software delivery lifecycle.

Key Responsibilities

CI/CD & Pipeline Engineering

• Design, build, and maintain multi-stage Azure DevOps YAML pipelines for build, test, security scanning, and deployment automation across Dev, Test, and Production environments.
• Develop reusable pipeline templates, task groups, and shared components to standardise and accelerate CI/CD delivery across multiple engineering teams.
• Define and enforce branch strategies, pull request policies, and code review gates within Azure Repos to maintain code quality and release governance.
• Manage Azure Artifacts for package management — maintaining NuGet, npm, Maven, and Docker image feeds across the organisation.
• Migrate legacy Classic pipelines to modern YAML-based pipelines — improving maintainability, reusability, and version control of pipeline definitions.
• Configure and manage self-hosted and Microsoft-hosted pipeline agents — scaling agent pools to meet delivery team capacity demands.
• Integrate security scanning tools (SAST, DAST, SCA, container scanning) as automated quality and security gates within CI/CD pipelines.

Azure Infrastructure & IaC

• Design, provision, and manage Azure cloud infrastructure using Terraform and / or Bicep / ARM Templates — following IaC best practices including modular design, remote state, and version control.
• Manage Azure networking — VNets, subnets, NSGs, Private Endpoints, VNet Peering, DNS, and Load Balancers — ensuring secure, reliable connectivity across environments.
• Configure and administer Azure Active Directory — RBAC, Managed Identities, Service Principals, and Conditional Access policies — enforcing least privilege across all platforms.
• Manage Azure Key Vault for secrets, certificates, and key lifecycle management — integrating securely with pipelines and application workloads.
• Implement and enforce Azure Policy and Blueprints to maintain governance, compliance, and cost controls across subscriptions and resource groups.
• Conduct infrastructure drift detection and remediation — ensuring deployed environments consistently match IaC definitions.

Kubernetes & Container Orchestration

• Deploy, manage, and optimise Azure Kubernetes Service (AKS) clusters — configuring RBAC, Network Policies, node pools, auto-scaling, and cluster upgrades.
• Develop and maintain Helm charts for consistent, parameterised application deployment across AKS environments.
• Manage Azure Container Registry (ACR) — image builds, vulnerability scanning, replication, and access control.
• Implement GitOps workflows using ArgoCD or Flux for declarative, Git-driven Kubernetes configuration and application delivery.
• Monitor AKS workload health and performance — integrating Container Insights, Prometheus, and Grafana for comprehensive observability.

Monitoring, Observability & Reliability

• Implement and maintain comprehensive observability across Azure environments — Azure Monitor, Log Analytics, Application Insights, and custom dashboards in Grafana.
• Define and configure alerting rules, action groups, and escalation workflows to ensure rapid detection and response to production incidents.
• Support SRE practices — defining SLOs, SLAs, and error budgets for critical platform services and contributing to incident post-mortems and reliability improvements.
• Develop and maintain operational runbooks, playbooks, and escalation procedures for common platform failure scenarios.

Automation & Scripting

• Write and maintain PowerShell and Bash scripts to automate cloud operations, infrastructure management, compliance checks, and reporting tasks.
• Develop Azure CLI and REST API automation for resource management, pipeline triggering, and platform tooling integration.
• Build self-service automation workflows to reduce manual operational toil and empower engineering teams to manage their own environments safely.

Collaboration & Enablement

• Act as a DevOps enabler — providing tooling, documentation, and hands-on support to help engineering teams adopt CI/CD and cloud best practices effectively.
• Collaborate with application developers, architects, security, and infrastructure teams to define and implement DevOps standards across the organisation.
• Contribute to Agile delivery ceremonies — sprint planning, backlog refinement, and retrospectives — as an embedded DevOps team member.
• Mentor and guide junior DevOps engineers — sharing knowledge, conducting code reviews of IaC and pipeline definitions, and promoting engineering excellence.
• Produce and maintain high-quality technical documentation — architecture diagrams, runbooks, onboarding guides, and pipeline documentation.

What We're Looking For

1. 6+ years of experience in DevOps or Platform Engineering with deep, hands-on expertise in Azure DevOps and the broader Microsoft Azure ecosystem.
2. Strong Azure DevOps proficiency — YAML pipeline design, multi-stage orchestration, branch policies, artifact management, and self-hosted agent configuration.
3. Advanced Terraform skills — modular IaC design, remote state, workspaces, and automated drift detection across multi-environment Azure deployments.
4. Solid Azure cloud expertise — AKS, App Services, Functions, Azure SQL, Service Bus, Key Vault, Azure AD, Monitor, and networking services in production environments.
5. Strong Kubernetes skills — AKS administration, Helm chart development, RBAC, Network Policies, and cluster lifecycle management.
6. Proficiency in PowerShell and Bash scripting for cloud automation, operational tooling, and infrastructure management.
7. Experience integrating DevSecOps practices into pipelines — SAST, DAST, container scanning, and secrets management using Azure Key Vault.
8. Hands-on experience with Docker — multi-stage image builds, ACR management, and container security best practices.
9. Solid understanding of Azure networking, security, governance, and cost management — including Azure Policy, RBAC, and Managed Identities.
10. Strong communication skills — able to engage confidently with engineering teams, architects, and senior stakeholders, and document platform decisions clearly.

Nice to Have

• Experience with GitOps tooling — ArgoCD or Flux — for declarative Kubernetes application delivery.
• Familiarity with GitHub Actions as an alternative CI/CD platform alongside Azure DevOps.
• Exposure to Azure Landing Zone design and enterprise-scale architecture patterns.
• Knowledge of FinOps practices — Azure Cost Management, tagging strategies, and cloud spend optimisation.
• Experience with service mesh technologies — Istio or Linkerd — for AKS workload security and observability.
• Familiarity with chaos engineering and resilience testing practices.
• Microsoft Certified: DevOps Engineer Expert (AZ-400).
• Microsoft Certified: Azure Administrator Associate (AZ-104).
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
• Certified Kubernetes Administrator (CKA) or Kubernetes Application Developer (CKAD).
• HashiCorp Certified: Terraform Associate.

Years of experience: 6 to 10 Years

Location:

About the Role
We are looking for a Senior React Developer with 8–10 years of experience to design, build, and maintain exceptional, enterprise-grade frontend applications. You will bring deep React.js and TypeScript expertise — architecting scalable component libraries, complex state management solutions, and high-performance user interfaces that delight users and meet rigorous enterprise standards. You will play a leading role in frontend architecture decisions, drive engineering best practices, mentor fellow developers, and collaborate closely with UX designers, backend engineers, and product owners to deliver outstanding digital experiences in an Agile environment.

Key Responsibilities

React Development & Architecture

• Design and develop scalable, high-performance React.js applications using TypeScript, modern hooks, and functional component patterns — delivering pixel-perfect, accessible, and responsive user interfaces.
• Architect and implement reusable, well-documented component libraries aligned to design system standards — using Storybook to document and showcase components for cross-team consumption.
• Design and implement complex state management solutions using Redux Toolkit, Redux Saga, React Query, or Context API — ensuring predictable, performant, and maintainable application state across large-scale React applications.
• Implement micro-frontend architecture using Module Federation or equivalent — enabling independent team delivery and scalable frontend composition across enterprise platforms.
• Build and optimise Next.js applications — leveraging server-side rendering (SSR), static site generation (SSG), and incremental static regeneration (ISR) for performance-critical and SEO-sensitive use cases.
• Develop and enforce frontend architecture patterns — Clean Architecture, Feature-Driven Development, Atomic Design — ensuring long-term maintainability and scalability of the frontend codebase.

Performance & Quality

• Implement comprehensive frontend performance optimisation strategies — code splitting, lazy loading, memoisation, bundle size optimisation, and Core Web Vitals improvement (LCP, FID, CLS).
• Enforce WCAG accessibility standards (AA / AAA) across all UI components and pages — conducting accessibility audits and remediating issues to ensure inclusive user experiences.
• Write comprehensive unit, component, and end-to-end tests using Jest, React Testing Library, Cypress, and Playwright — maintaining high test coverage and regression confidence across the frontend codebase.
• Conduct visual regression testing using Applitools or Percy — ensuring UI consistency across browsers, devices, and screen sizes through automated visual validation.
• Enforce code quality standards using ESLint, Prettier, and pre-commit hooks (Husky / Lint-staged) — maintaining a clean, consistent, and well-linted codebase across the team.

API Integration & Real-time Features

• Integrate React frontends with backend REST APIs and GraphQL services — managing asynchronous data flows, loading states, error handling, and cache invalidation using React Query or Apollo Client.
• Implement real-time data features using WebSockets or Server-Sent Events — delivering live dashboards, notifications, and collaborative features within React applications.
• Implement secure frontend authentication flows — OAuth2, JWT, session management, and token refresh — integrating with identity providers (Auth0, Azure AD, Cognito) for enterprise-grade security.

DevOps & Delivery

• Build and maintain CI/CD pipelines for frontend delivery — automating build, lint, test, and deployment workflows using GitLab CI, GitHub Actions, or Azure DevOps.
• Manage frontend cloud deployments on AWS (S3, CloudFront, Amplify), Azure Static Web Apps, or Vercel / Netlify — configuring CDN, caching strategies, and environment-specific builds.
• Manage monorepo tooling using Nx or Turborepo — optimising build times, managing shared libraries, and enforcing consistent tooling across multiple frontend packages.
• Contribute to Docker containerisation of frontend applications — building optimised multi-stage Docker images for consistent, environment-agnostic frontend deployments.

Leadership & Collaboration

• Lead frontend technical design discussions — contributing React and frontend architecture expertise to solution design, trade-off analysis, and architectural decision-making across programmes.
• Conduct thorough code reviews — providing constructive, knowledge-sharing feedback that elevates code quality, consistency, and engineering standards across the frontend team.
• Collaborate closely with UX Designers (Figma handoff), Backend Engineers, QA, and Product Owners — ensuring seamless, end-to-end feature delivery aligned to design intent and business requirements in Agile sprints.
• Mentor and coach junior and mid-level React developers — conducting knowledge-sharing sessions, pair programming, and career development support.
• Contribute to and promote frontend engineering best practices — maintaining team coding standards, architectural decision records (ADRs), and technical documentation.

What We're Looking For

1. 8–10 years of frontend development experience with deep, demonstrable expertise in React.js and TypeScript in large-scale production environments.
2. Advanced React.js proficiency — Hooks, Functional Components, custom hook development, performance patterns, and complex component architecture.
3. Strong TypeScript skills — type system mastery, generics, utility types, and typed API integration in large-scale React applications.
4. Proven state management expertise — Redux Toolkit, Redux Saga, React Query, and Context API — in complex, data-intensive enterprise frontend applications.
5. Strong Next.js experience — SSR, SSG, ISR, and App Router — for performance-critical, SEO-sensitive production applications.
6. Experience architecting and delivering micro-frontend solutions using Module Federation or equivalent — in multi-team enterprise delivery environments.
7. Deep knowledge of frontend performance optimisation — Core Web Vitals, code splitting, lazy loading, memoisation, and bundle size management.
8. Strong API integration skills — REST (Axios / Fetch), GraphQL (Apollo Client / urql), WebSockets — with robust error handling, caching, and loading state management.
9. Comprehensive testing experience — Jest, React Testing Library, Cypress, Playwright — with a strong commitment to test coverage and TDD / BDD practices.
10. In-depth knowledge of WCAG accessibility standards and cross-browser / cross-device compatibility requirements.
11. Excellent communication and collaboration skills — able to articulate frontend architecture decisions clearly to technical peers, UX designers, and non-technical stakeholders.

Nice to Have

• Experience with AI-augmented frontend development — integrating LLM-powered features (chatbots, copilots, intelligent search) into React applications using LangChain.js or Vercel AI SDK.
• Familiarity with WebAssembly (WASM) for high-performance browser-side computation.
• Knowledge of PWA development — service workers, offline capabilities, push notifications.
• Exposure to React Native for cross-platform mobile development alongside web.
• Experience with 3D / data visualisation libraries — Three.js, D3.js, Recharts, Victory — for complex data-rich UI development.
• Familiarity with edge computing and edge rendering patterns — Vercel Edge Functions, Cloudflare Workers.
• Experience with Design Token management and multi-brand design system implementation.
• AWS Certified Developer Associate or Microsoft Azure Developer Associate certification.
• Experience in Financial Services, FinTech, Retail, or other regulated industry environments.

Years of experience: 8 to 10 Years

Location:

Role Overview

We are seeking a Senior Engineering Manager with 10+ years of experience in software development and engineering leadership. The role requires a proven ability to lead multiple teams, drive high-impact delivery, and mentor senior engineers, while partnering closely with Product and business stakeholders to execute technology strategy.

Key Responsibilities

Leadership & Team Development

• Lead, mentor, and inspire multiple engineering teams.
• Drive career growth, performance management, and succession planning.
• Foster a culture of ownership, innovation, and high engineering standards.
• Support recruitment, onboarding, and team scaling for strategic growth.

Technical & Delivery Oversight

• Provide technical guidance, architecture review, and code quality oversight.
• Ensure adoption of best practices in software design, testing, security, and CI/CD.
• Partner with Tech Leads and Architects on system design and roadmap planning.
• Manage delivery timelines, priorities, and dependencies across projects.

Strategic & Stakeholder Management

• Collaborate with Product, UX, and business teams to define technical strategy.
• Communicate project status, risks, and mitigation plans to senior leadership.
• Influence technology roadmap and contribute to organizational planning.
• Drive continuous improvement in processes, metrics, and delivery excellence.

Required Skills & Qualifications

1. 10+ years of software engineering experience with 5+ years in leadership roles.
2. Proven experience leading large, distributed, or multi-team engineering organizations.
3. Strong technical foundation across modern stacks (backend, frontend, mobile, cloud).
4. Deep understanding of agile methodologies, software lifecycle, and engineering metrics.
5. Strong decision-making, problem-solving, and stakeholder management skills.
6. Excellent communication skills, able to influence senior leadership.

Preferred / Nice-to-Have

• Experience in client-facing or consulting environments.
• Expertise in cloud platforms (AWS, Azure, GCP) and scalable systems.
• Background in microservices, mobile applications, or platform engineering.
• Familiarity with DevOps, CI/CD pipelines, and automated testing.

Years of experience: 10 to 15 Years

Location:

About the Role

We are looking for a Senior DevOps Engineer to join our Engineering Platforms team, helping us build and operate the toolchain and platform capabilities that underpin safe, fast software delivery across the organisation. You will work across our Route to Live programme, Kosli initiatives — bringing deep expertise in GitLab, SaaS platform hosting, and DevOps tooling integration.

Key Responsibilities

• Design, build, and maintainGitLab CI/CD pipelinessupporting application teams across the organisation, including pipeline templates for SAR-compliant releases
• Implement and manageKoslifor deployment tracking, change evidence, and compliance trail automation
• OwnRBAC design and enforcementacross platform tooling — GitLab, Kosli, and connected SaaS products — ensuring least-privilege access aligned to change governance requirements
• ManageSaaS platform hostingfor engineering tooling, including availability, upgrades, and capacity planning
• Develop and maintainTerraformmodules for infrastructure provisioning and platform configuration-as-code
• Leadproduct integrationsbetween platform tools (GitLab, ServiceNow, Kosli, vulnerability scanners) to enable automated evidence capture and change record creation
• Contribute tosource code managementstandards — branching strategies, MR policies, protected branches, and pipeline enforcement
• Support application teams in adopting platform tooling, providing guidance on pipeline patterns, RBAC configuration, and compliance evidence generation

Required Skills & Experience

• Strong hands-on experience withGitLab— pipelines, CI/CD, source code management, MR workflows, and GitLab API integration
• Practical experience withKoslior equivalent deployment tracking / change evidence tooling
• Deep understanding ofRBACdesign and implementation across SaaS platforms and developer tooling
• Experience managingSaaS platform hosting— including upgrades, configuration management, and operational support
• Proficiency inTerraformfor infrastructure-as-code and platform provisioning
• Experience designing and implementingproduct integrationsacross DevOps toolchains (webhooks, APIs, pipeline triggers)
• Solid understanding ofsource code managementpractices — trunk-based development, release branching, hotfix strategies
• Familiarity withchange governanceconcepts and how pipeline automation supports compliant software delivery

Desirable Skills

• Familiarity with vulnerability scanning tools (SAST, dependency scanning, container scanning) and integrating results into pipeline gates
• Experience in regulated financial services or similarly governed environments

What You'll Be Working On

You'll be at the heart of our platform engineering capability — building the pipelines, integrations, and tooling that enable teams to ship safely and quickly. From Kosli-powered compliance trails to GitLab pipeline templates and Terraform-managed infrastructure, you'll be shaping how engineering delivery works at scale.

Years of experience: 6 to 8 Years

Location:

• Help define the user interface architecture for data products and build/maintain JavaScript libraries.

• Develop strategies for maintaining server infrastructure and provide network performance statistics reports.

• Write application interface codes following React.js/Angular workflows and design and build React-based web3 NFT marketplace features.

• Manage server networking technologies and administer servers, storage networks, and applications DNS, FTP, Web.

  Requirements:

• 5-9 years of experience in React, Node, or relevant frameworks like Angular, Vue, etc.

• Proficiency in JavaScript, TypeScript, HTML, CSS, and bootstrap.

• Experience in building microservices using Node.js and strong understanding of React.js.

• Technical expertise in server performance management, analyzing, and troubleshooting.

• Hands-on experience with front-end development tools and frameworks like AngularJS, TypeScript.

• Good understanding of JavaScript frameworks and designing user interface components.

  Skills:

• Expertise in JavaScript, Node.js, React Native, and web-based scripting technologies.

• Strong proficiency in TypeScript, DOM manipulation, ES6, and object-oriented JavaScript.

• Knowledge of modern web standards, open-source technologies, and JavaScript ecosystem.

• Experience with server-side technologies, REST APIs, and server infrastructure setup.

• Familiarity with UI frameworks like React.js, AngularJS, and React Native.

• Proficiency in client-side scripting languages like JavaScript, jQuery, and CSS.

Years of experience: 5 to 9 Years

Location:

About the Role

We are looking for a Senior ServiceNow SME to join our Engineering Platforms team, supporting the evolution of our Standard Application Release (SAR) and change governance capabilities. You will be a subject matter expert in ServiceNow's DevOps Change Velocity Module, working at the intersection of change management, pipeline automation, and compliance.

This role is central to our Route to Live programme — helping us automate ServiceNow change record creation, integrate with GitLab pipelines, and ensure our change governance controls are robust, auditable, and fast.

Key Responsibilities

• Own the design, configuration, and continuous improvement of theServiceNow DevOps Change Velocity Module, including automated change record creation triggered from GitLab pipelines
• Lead theGitLab–ServiceNow integration, ensuring pipeline evidence (test results, vulnerability scans, MR metadata) is automatically attached to change records
• Define and maintainchange governance guardrailswithin ServiceNow, including automated approval workflows, evidence capture, and audit trail generation
• Collaborate with the Route to Live and RTL Compliance teams to extend SAR to new change types (e.g., Maintenance > Security Patching)
• Advise onchange categorisation, risk assessment, and approval workflowsin alignment with internal change management policy
• Support onboarding of application teams onto SAR, providing guidance on ServiceNow record structure and pipeline integration patterns
• Contribute to the design of scope enforcement and automated guardrails that prevent misuse of change pathways

Required Skills & Experience

• ServiceNow Certified Application Developeraccreditation (mandatory)
• Deep hands-on experience with theServiceNow DevOps Change Velocity Module
• Proven experience integratingServiceNow with GitLab, including pipeline triggers, webhook configuration, and evidence attachment
• Strong understanding ofGitLab pipelines, CI/CD workflows, and source code management practices
• Solid knowledge ofchange governance frameworks— change categorisation (Cat 1/2/3), approval workflows, Independent Checker requirements, and audit evidence standards
• Experience designing and implementingautomated change record creationfrom pipeline events
• Familiarity with ITSM concepts: change advisory boards, risk assessment, conflict/HAP checking, and maintenance change types

Desirable Skills

• Experience with vulnerability management tooling (SAST, dependency scanning, container scanning) and integrating scan results into change evidence
• Understanding of RIAM or equivalent risk classification frameworks
• Experience in regulated financial services or similarly governed environments

What You'll Be Working On

You'll be a key contributor to our SAR programme — helping automate the creation of ServiceNow change records directly from GitLab pipelines, attaching security scan evidence, and building the guardrails that make fast, safe change delivery possible at scale.

Years of experience: 6 to 8 Years

Location:

About the Role
We are looking for a Senior Regulatory Product Owner with 10–15 years of experience to own and drive the product vision, roadmap, and delivery of complex regulatory reporting and compliance technology programmes. You will operate at the intersection of financial services regulation, functional business analysis, and Agile product delivery — translating complex regulatory requirements into clear, actionable product backlogs and working closely with technology, risk, compliance, and operations teams to deliver solutions that meet the highest standards of regulatory accuracy, auditability, and governance.

This is a senior, high-impact role requiring deep domain expertise in financial services regulation — APRA, ASIC, MiFID II, EMIR, BCBS 239, or equivalent — combined with strong product ownership, stakeholder management, and functional analysis skills. You will be the voice of the regulator within the delivery team and the voice of the delivery team to the regulator — bridging the gap between regulatory obligation and technology solution with authority, clarity, and commercial pragmatism.

Key Responsibilities

Regulatory Product Ownership

• Own the end-to-end product vision, strategy, and roadmap for regulatory reporting and compliance technology programmes — ensuring alignment with regulatory obligations, business strategy, and technology capability.
• Translate complex regulatory requirements — APRA prudential standards, ASIC reporting rules, MiFID II, EMIR, BCBS 239, Basel III / IV — into clearly defined, prioritised, and deliverable product features and user stories.
• Define and maintain a well-groomed, prioritised product backlog — balancing regulatory deadlines, business value, technical feasibility, and risk across multiple concurrent regulatory change streams.
• Define MVP scope and incremental delivery strategies for regulatory change programmes — ensuring minimum viable compliance is achieved within regulatory deadlines while longer-term platform improvements are delivered iteratively.
• Own the Definition of Ready and Definition of Done for regulatory product deliverables — ensuring stories are well-defined, testable, and meet regulatory evidence and audit trail standards before and after development.
• Lead PI Planning activities — defining programme increment objectives, managing dependencies, and aligning regulatory delivery priorities across Agile Release Trains in SAFe environments.
• Manage release planning and regulatory change governance — coordinating with change advisory, compliance, and operations teams to ensure regulatory releases meet internal governance and external submission requirements.
• Monitor and report on product delivery progress — producing clear, evidence-based status updates and product metrics for programme steering committees, CRO, and senior regulatory stakeholders.

Regulatory Functional Analysis

• Lead regulatory impact assessments — analysing new or updated regulatory rules, technical standards, and supervisory guidance to define the functional and data changes required across reporting systems.
• Produce high-quality functional specifications — BRDs, FRDs, data mapping documents, transformation logic definitions, and acceptance criteria — that provide development teams with clear, unambiguous implementation guidance.
• Map current-state (AS-IS) regulatory reporting processes and design future-state (TO-BE) workflows — identifying gaps, inefficiencies, and compliance risks that the product roadmap must address.
• Define and validate data lineage requirements — ensuring regulatory reports can demonstrate complete, auditable traceability from source system through transformation to submission.
• Conduct gap analysis between current regulatory reporting capability and incoming regulatory requirements — producing clear gap registers with prioritised remediation plans aligned to regulatory deadlines.
• Define non-functional requirements for regulatory systems — data retention, audit trail standards, access controls, encryption, and performance under regulatory reporting cycle load.
• Collaborate with data architects, data engineers, and reporting teams to validate that regulatory data models, transformation rules, and report outputs meet functional specifications and regulatory standards.

Stakeholder Management & Governance

• Engage and manage senior stakeholders across Risk, Finance, Compliance, Technology, and Operations — building trusted relationships and effectively managing competing priorities across the regulatory programme portfolio.
• Act as the primary business interface for regulatory technology programmes — representing business and regulatory requirements to technology teams, and communicating delivery progress and risk to business leadership.
• Support engagement with regulatory bodies — APRA, ASIC, RBA — including preparation of regulatory submissions, response to supervisory queries, and evidence of compliance with regulatory standards.
• Lead and facilitate requirements workshops, design reviews, and regulatory change briefings — engaging stakeholders at all levels from operational teams to C-suite with clarity and authority.
• Manage UAT planning and coordination — engaging business users, compliance officers, and regulatory operations teams as UAT participants and owning business sign-off on regulatory deliverables.
• Contribute to programme governance — participating in steering committees, change advisory boards, and risk forums to represent the regulatory product perspective and escalate delivery risks.
• Manage third-party regulatory reporting platform vendors — Axiom SL, Vermeg, FIS, or equivalent — including product roadmap alignment, change request management, and escalation of platform issues.

Regulatory Change Management

• Monitor and interpret the regulatory change landscape — tracking APRA consultations, ASIC rule updates, global regulatory developments, and industry guidance to proactively identify and assess upcoming regulatory change obligations.
• Maintain a regulatory change register — tracking upcoming regulatory deadlines, impact assessments, delivery dependencies, and programme readiness across the regulatory portfolio.
• Lead regulatory change briefings for business and technology stakeholders — communicating the nature, timing, and impact of regulatory changes clearly and ensuring organisational readiness.
• Coordinate with legal, compliance, and risk teams to interpret regulatory requirements — resolving ambiguity, seeking regulatory guidance where needed, and translating legal language into functional product requirements.

What We're Looking For

1. 10–15 years of experience in financial services — with at least 5–7 years in a Product Owner, Business Analyst, or Functional Lead role focused on regulatory reporting or compliance technology.
2. Deep domain expertise in financial services regulatory frameworks — APRA prudential standards, ASIC reporting rules, MiFID II, EMIR, BCBS 239 / RDARR, Basel III / IV, or equivalent — with proven ability to translate regulatory obligations into technology requirements.
3. Strong product ownership skills — backlog management, user story writing, acceptance criteria, release planning, and Agile delivery in complex, multi-stakeholder regulatory programmes.
4. Excellent functional analysis capabilities — BRD / FRD writing, data mapping, process mapping, gap analysis, and traceability matrix management for regulatory reporting systems.
5. Proven stakeholder management experience — engaging CRO, CFO, Head of Regulatory Reporting, Internal Audit, and regulatory bodies with confidence and credibility.
6. Strong understanding of regulatory data concepts — data quality, data lineage, traceability, and audit trail standards in regulatory reporting contexts.
7. Experience managing UAT for regulatory change programmes — coordinating business sign-off and producing audit-quality evidence for regulatory and internal governance.
8. Proficiency with Agile delivery tooling — Jira, Confluence, Miro — and experience in SAFe or large-scale Agile regulatory programme delivery.
9. Excellent written and verbal communication skills — able to translate complex regulatory requirements into clear product artefacts, stakeholder presentations, and programme governance documentation.
10. Strong commercial and risk awareness — understanding the financial, reputational, and regulatory consequences of non-compliance and using this to drive pragmatic, risk-proportionate product decisions.

Nice to Have

• Experience with regulatory reporting platforms — Axiom SL, Vermeg, FIS Regulatory Reporting — including vendor management and product roadmap engagement.
• Familiarity with XBRL / XML regulatory report formats — COREP, FINREP, or APRA equivalent structured reporting formats.
• Knowledge of RegTech solutions and emerging regulatory technology — AI-driven compliance monitoring, NLP-based regulatory change management, or automated report generation.
• Understanding of data engineering concepts — ETL / ELT pipelines, data warehouse architecture, and SQL — sufficient to engage credibly with data and engineering teams on regulatory data design.
• Exposure to capital markets products — equities, fixed income, derivatives, FX — and their regulatory reporting implications.
• Experience with model risk management and BCBS 239 / RDARR programme delivery.
• Certified Scrum Product Owner (CSPO), SAFe POPM, or equivalent product certification.
• CBAP / CCBA Business Analysis certification.
• PRINCE2 / PMP project management certification.
• Experience in Australian banking — NAB, CBA, ANZ, Westpac, or equivalent — with APRA and ASIC regulatory reporting obligations.

Years of experience: 10 to 15 Years

Location:

Years of experience: 5 to 8 Years

Location:

Key Responsibilities

• Design, implement, and manage scalable AWS infrastructure (EKS, Aurora DB, EC2, S3)

• Handle Kubernetes deployments with Helm charts

• Build, manage, and optimize Docker images

• Automate workflows using Python and Shell scripting

• Manage infrastructure as code using Terraform

• Drive deployment strategies (blue-green, canary)

• Collaborate with centralized CI/CD teams (Jenkins, Groovy)

• Ensure observability using AppDynamics and troubleshoot system performance.

Required Skills

• Expertise in AWS: EKS, Aurora DB, EC2, S3

• Strong hands-on experience with Kubernetes, with understanding of Helm Charts

• Docker image management and orchestration

• Proficiency in Terraform

• CI/CD tooling with Jenkins and Groovy scripting

• Python and Shell scripting for automation (including Boto3 Library)

• Familiarity with AWS Lambda, Route 53, IAM

• Experience with AppDynamics or similar monitoring tools for monitoring and telemetry purposes.

Years of experience: 7 to 9 Years

Location:

About the Role
We are looking for a DevOps Engineer with 6–10 years of experience and strong exposure to quantitative finance technology to join our Quant Technology team. You will design, build, and operate the CI/CD pipelines, cloud infrastructure, and automation frameworks that underpin our quantitative research, pricing, risk, and trading platforms. You will bridge the worlds of DevOps engineering and quantitative finance technology — ensuring that quant models, risk systems, and market data platforms are delivered, deployed, and operated with the reliability, performance, and security demanded by a regulated financial services environment.

What We're Looking For

1. 6–10 years of DevOps / Platform Engineering experience with proven exposure to quantitative finance, capital markets, or financial services technology environments.
2. Strong CI/CD expertise — GitLab CI, Jenkins, or GitHub Actions — with experience building and managing pipelines for complex, multi-component financial technology systems.
3. Good understanding of quantitative finance technology — pricing engines, risk systems, market data platforms, and quant library management — sufficient to engage credibly with quant developers and researchers.
4. Deep Kubernetes skills — EKS / AKS administration, Helm, GitOps, RBAC, and workload performance tuning for HPC and latency-sensitive financial applications.
5. Strong Python and Shell scripting skills for infrastructure automation, quant environment management, and operational tooling.
6. Solid Terraform expertise — modular IaC design, remote state management, and cloud resource provisioning for financial services environments.
7. Strong AWS and / or Azure experience — cloud infrastructure management, HPC services, security configuration, and cost optimisation for quantitative workloads.
8. Experience with observability platforms — Prometheus, Grafana, Datadog, or Splunk — for comprehensive quant technology monitoring and incident response.
9. Solid understanding of financial services regulatory and security requirements — SOX, MiFID II, APRA — and their implications for DevOps practices and change governance.
10. Excellent communication skills — able to engage effectively with quantitative analysts, developers, risk managers, and senior technology stakeholders.

Nice to Have

• Experience with kdb+ / q — time-series database used extensively in quant finance for tick data management and analytics.
• Familiarity with algorithmic trading infrastructure — order management systems (OMS), execution management systems (EMS), and FIX protocol environments.
• Knowledge of GPU infrastructure management — NVIDIA CUDA, GPU cluster administration — for deep learning and quant model acceleration.
• Exposure to QuantLib, OpenGamma, or equivalent open-source quant libraries for pricing and risk analytics.
• Experience with low-latency networking — DPDK, RDMA, kernel bypass — for ultra-low-latency quant application infrastructure.
• Familiarity with Apache Kafka or Solace for real-time market data distribution and event-driven quant platform architecture.
• AWS Certified DevOps Engineer Professional or Azure DevOps Engineer Expert certification.
• Certified Kubernetes Administrator (CKA) or Certified Kubernetes Security Specialist (CKS).
• HashiCorp Certified: Terraform Associate.
• Experience in Investment Banking, Hedge Fund, Asset Management, or equivalent quantitative finance environment.

Key Responsibilities

CI/CD & Pipeline Engineering

• Design, build, and maintain CI/CD pipelines for quantitative finance applications — including pricing libraries, risk calculation engines, quant model deployments, and market data platform components.
• Implement release automation and deployment strategies — Blue-Green, Canary, and Rolling deployments — with automated rollback for quant system releases that demand zero-downtime delivery.
• Manage artifact versioning and dependency management — ensuring quant libraries, model binaries, and configuration artefacts are versioned, traceable, and reproducible across environments.
• Integrate security scanning (SAST / DAST) and compliance checks into quant technology pipelines — enforcing regulatory and security standards before code reaches production.
• Maintain environment parity across Dev, UAT, and Production — ensuring quant models and risk systems behave consistently across all deployment targets.

Quantitative Technology Infrastructure

• Manage and support quantitative finance infrastructure — pricing engines, risk calculation platforms, backtesting frameworks, and market data distribution systems.
• Support quant library dependency management — QuantLib, NumPy, SciPy, pandas — ensuring consistent, versioned library environments across research, development, and production.
• Manage market data platform integrations — Bloomberg, Refinitiv / LSEG, ICE — including feed management, data normalisation pipelines, and platform availability monitoring.
• Support high-performance computing (HPC) workloads — managing grid computing, parallel processing, and distributed calculation frameworks for risk and pricing computation.
• Implement and maintain low-latency infrastructure optimisations — network tuning, kernel parameter management, and CPU affinity configuration — for latency-sensitive quant applications.
• Collaborate with quantitative analysts and developers to deploy, version, and govern quant model releases across research and production environments.

Cloud & Infrastructure

• Architect and manage cloud infrastructure for quant technology workloads on AWS and / or Azure — leveraging EKS / AKS, HPC services, and managed data services for scalable, cost-efficient quant computing.
• Provision and manage infrastructure using Terraform — developing reusable, modular IaC configurations for quant technology environments.
• Manage hybrid cloud architecture — integrating on-premise quant infrastructure with cloud-based HPC, data storage, and model serving platforms.
• Optimise cloud resource usage for quant workloads — implementing auto-scaling, spot instance strategies, and FinOps practices to manage HPC compute costs.

Monitoring & Reliability

• Implement comprehensive observability for quant technology platforms — Prometheus, Grafana, Datadog, or Splunk — with dashboards and alerting for pricing engine performance, risk calculation SLAs, and market data feed health.
• Monitor low-latency quant application performance — tracking tick-to-trade latency, calculation throughput, and system resource utilisation to proactively identify and resolve performance bottlenecks.
• Define and track SLOs for quant technology services — ensuring pricing, risk, and market data platforms meet availability and performance commitments aligned to trading and regulatory requirements.
• Lead incident response for quant technology outages — coordinating rapid resolution of pricing engine failures, market data outages, and risk system incidents with minimal business impact.

Security, Compliance & Governance

• Implement DevSecOps practices across quant technology pipelines — integrating vulnerability scanning, secrets management, and compliance gates aligned to financial services regulatory requirements.
• Manage secrets and credential lifecycle across quant platforms — HashiCorp Vault, AWS Secrets Manager — ensuring secure handling of market data credentials, API keys, and system certificates.
• Support regulatory compliance activities — SOX, MiFID II, APRA — producing audit evidence for change management, deployment governance, and access control across quant technology environments.
• Enforce change management processes for quant system releases — coordinating with CAB, risk, and compliance teams to ensure quant platform changes meet governance requirements

Years of experience: 6 to 10 Years

Location:

Job Summary:
Role Summary (What this person will actually do)

• Own production platform stability, reliability, and incident management

• Lead SRE / Ops team handling critical production systems

• Drive incident response, RCA, and system improvements

• Ensure high availability, performance, and monitoring maturity

• Work closely with application, infra, and IAM/authentication teams

Core Responsibilities

1. 1. Production & SRE Ownership

• Manage P1/P2 incidents, escalation, and resolution

• Drive RCA, problem management, and preventive fixes

• Improve MTTR, MTTD, system reliability

1. 2. Team Leadership

• Lead and manage SRE / Ops team. Role is for full time consultant so career management for reportee’s is not required.

• Allocate work, run scrum/standups, track deliverables

• Mentor engineers and ensure operational discipline

1. 3. Cloud & Platform

• Strong experience in AWS-based environments

• Understanding of Kubernetes (EKS) and microservices architecture

• Work with CI/CD pipelines (Jenkins mandatory)

1. 4. Infrastructure & Automation

• Experience with Terraform / CloudFormation

• Exposure to Ansible / scripting (Python/Shell)

• Understanding of infra provisioning and debugging issues

1. 5. Monitoring & Observability

• Hands-on with tools like:

• Prometheus / Grafana / CloudWatch / ELK

• Strong understanding of:

• Alerting, SLI/SLO, dashboards

1. 6. Incident & Change Management

• Strong experience in:

• ITIL processes (Incident, Change, Problem mgmt)

• Tools like ServiceNow / JIRA

1. 7. Identity & Access (Preferred but Important)

• Working knowledge of:

• Authentication & Authorization concepts

• OAuth2 / OIDC / SAML basics

• API security / token-based auth

• IAM (AWS IAM / RBAC basics)

• Exposure to tools like:

• CyberArk / Centrify / similar PAM tools (good to have)

1. 8. Domain Preference

• Banking / Financial services experience preferred

• Exposure to:

• Secure environments

• Compliance-driven systems (audit, access control)

Years of experience: 10 to 15 Years

Location:

Required Skills & Experience

1. 8+ years of total experience with a minimum of 6 years in Java enterprise application development.
2. Strong experience in Core Java, OOPS, Data Structures, and Design Patterns.
3. Hands-on experience with Spring, Spring Boot, Spring MVC, and Microservices architecture.
4. Strong knowledge of Java 8+, Collections, Concurrency, and Multithreading.
5. Experience in building RESTful APIs and event-driven microservices.
6. Working experience in system design, distributed systems, and event-driven architecture.
7. Good understanding of SQL and strong problem-solving skills.
8. Exposure to Apache Kafka, AWS SQS, RabbitMQ, or other asynchronous communication tools.
9. Experience with cloud technologies (AWS preferred).
10. Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and production support.
11. Knowledge of Redis, JWT/Auth, caching frameworks, and application monitoring.
12. Experience with enterprise servers like Tomcat and JBoss is an advantage.
13. Banking domain experience preferred.
14. Experience working with AI-assisted development tools such as Cursor is a plus.

Years of experience: 8 to 12 Years

Location:

Role Overview

NAB is building a bespoke data platform focused on Financial Crime transaction analysis. The platform processes tens of millions of transaction records daily and enables large-scale analytics to identify suspicious patterns and behavioral anomalies.

We are looking for a hands-on Data Engineer with strong Python and Spark expertise who can design scalable data pipelines, perform large-scale data analysis, and contribute to the architecture of a high-volume data platform.

This role is ideal for engineers who enjoy deep coding, distributed data processing, and building custom data platforms rather than relying purely on managed tools.

Key Responsibilities

Build and maintain scalable data pipelines across stages such as data download, ingestion, and analysis within a bespoke data platform.
Develop high-performance data processing logic using Python and PySpark.
Perform large-scale transaction data analysis using custom algorithms and in-house logic to detect financial crime patterns.
Work with high-volume datasets (80–90 million records processed regularly) and optimize pipeline performance.
Design efficient data models and transformations for large-scale processing.
Write optimized SQL queries on PostgreSQL (RDS), leveraging:

• Window functions
• Partitioning
• Query performance optimization

Work with Delta tables and Parquet-based storage formats for efficient data processing.

Build and maintain Spark batch and streaming jobs.
Implement engineering best practices including unit testing, static code analysis, and CI/CD practices.
Contribute to data platform architecture and system design decisions.

Required Skills

Core Engineering Skills

Strong Python programming expertise

Deep understanding of:

• Functional programming
• Object-Oriented Programming (OOP)
• Design patterns
• Python execution and invocation mechanisms

Hands-on experience with Apache Spark / PySpark

Strong SQL expertise including:

• Window functions
• Partitioning
• Query optimization

Experience building end-to-end data pipelines

Data Platform Engineering

Experience designing scalable data processing architectures

Strong understanding of distributed data processing

Familiarity with standard data pipeline engineering practices, including:

• Unit testing
• Static code analysis (Sonar or similar)
• Code linting
• Pipeline reliability and monitoring

Good to Have

AWS exposure (especially EMR and S3)

Experience with Apache Airflow for job orchestration and scheduling

Exposure to Kafka or streaming architectures

Familiarity with Databricks environments (as upstream data source)

Experience working in banking, financial services, or financial crime analytics

Tech Stack

Languages: Python, SQL
Processing: Apache Spark / PySpark
Storage: Delta Tables, Parquet
Database: PostgreSQL (RDS)
Orchestration: Airflow (good to have)
Cloud: AWS (EMR, S3 – good to have)
Code Quality: Sonar, Unit Testing, Linting

What We're Looking For

Strong hands-on engineer, who can do more that using standard ETL tools.
Comfortable working with large-scale datasets
Ability to design and build scalable data platform components
Someone who enjoys solving complex data engineering problems through code

Years of experience: 8 to 12 Years

Location:

Job Summary

We are seeking a highly motivated and detail-oriented Automation Tester to join our Market Surveillance Technology team. The ideal candidate will be responsible for designing, developing, and executing automated test solutions for surveillance applications that monitor market activity, detect trading anomalies, and ensure compliance with regulatory requirements.

The candidate should have strong automation testing expertise, experience working with large datasets, APIs, and databases, and preferably exposure to financial services, capital markets, or regulatory surveillance systems.

Technical Skills

• 8+ years of experience in Software Testing with at least 3 years in Test Automation.

• Strong experience in:

o Selenium WebDriver

• Java/Python
• TestNG/JUnit/PyTest
• API Testing (Postman, Rest Assured)
• SQL and Database Testing
• AutoX Playwright
• Experience with Devops and CI/CD tools such as:

o Jenkins

• Azure DevOps
• GitHub Actions
• Experience integrating tests into deployment pipelines.

• Experience using version control tools such as Git.
• Good understanding of Agile/Scrum methodologies.
• Hands-on experience with defect management tools such as Jira, Rally or Azure DevOps.

Domain Knowledge (Preferred)

• Experience in Capital Markets, Trading Platforms, Exchange Systems, or Market Surveillance.

• Understanding of:

o Equities, Derivatives, Fixed Income, or Commodity Markets

• Order Lifecycle Management
• Trade Surveillance

Years of experience: 8 to 11 Years

Location:

About the Role

We are looking for a Senior Security Engineer to strengthen and operate our security architecture, which is organized around the NIST Cybersecurity Framework (CSF) 2.0.

This is a hands-on engineering role at the center of the security program. You will own day-to-day operation of core security tooling, drive vulnerability and findings remediation across engineering teams, harden identity and access controls, and produce the control evidence supporting HIPAA (and, where applicable, other regulatory frameworks such as SOX) compliance obligations. You will work closely with DevOps/Engineering, IT, the Compliance/GRC function, and any managed security services partner.

What You Will Do

• Operate and continuously improve the security stack: WAF policy tuning, cloud posture and vulnerability triage, log-source onboarding to the SIEM, and EDR coverage.
• Own the findings lifecycle: review penetration test, SIEM, and posture-management findings in a central register, assign to accountable owners, and drive remediation within defined severity-based SLAs (e.g., Critical: plan within 1 day, resolve within 3 days).
• Harden identity and access management: MFA enforcement across critical systems, access provisioning/deprovisioning workflows, privileged access restriction, and periodic access recertification.
• Support regulatory control remediation (e.g., HIPAA, SOX ITGC): partner with Engineering and IT to close audit findings in user access management, change management, dev/production segregation, and job/interface monitoring.
• Extend detection coverage: onboard application logs into the SIEM, close monitoring gaps, and partner with the SOC (in-house or managed) on alert triage, escalation, and incident response.
• Verify and document WAF/CDN placement and consistent edge protection across all hosted applications and service APIs.
• Contribute to resilience: validate backup monitoring for core databases, support disaster-recovery tiering (RTO/RPO) completion, and help formalize incident and recovery communication plans.
• Maintain control evidence in the GRC platform and support internal/external audit cycles alongside the Compliance/GRC owner.
• Coordinate penetration testing scope and remediation with a managed security services provider, if applicable.

What You Bring

1. 5+ years in security engineering, with at least 3 years securing cloud-native environments (primary cloud platform required; multi-cloud exposure a plus).
2. Hands-on experience with CSPM/vulnerability management platforms, WAF/CDN platforms, and SIEM operations (log-source onboarding, alert tuning, working with a SOC).
3. Strong identity and access management background: SSO/IdP administration, MFA enforcement, cloud IAM, and access review/recertification processes.
4. Experience running a vulnerability or findings remediation program against defined SLAs, including working directly with engineering teams to get fixes shipped.
5. Working knowledge of HIPAA Security Rule and (where applicable) SOX ITGC domains (access management, change management, computer operations); experience remediating audit findings strongly preferred.
6. Familiarity with NIST CSF (2.0) and the ability to map technical controls to framework categories and produce audit-ready evidence.
7. Scripting ability (Python, Bash, or similar) for automation of security operations tasks.
8. Clear written and verbal communication — able to explain risk to engineers, auditors, and leadership alike.

Nice to Have

• Experience in healthcare, telehealth, or another regulated PHI/PII environment.
• Experience with GRC platforms and evidence automation.
• Familiarity with EDR platforms and managed security service provider (MSSP) relationships.
• Exposure to cloud-native relational and NoSQL data store security configuration.
• Relevant certifications: CISSP, CCSP, AWS/cloud-platform Security Specialty, GIAC (GSEC, GCSA, GCIH), or similar.

Years of experience:

Location:

Role : Billing and CAA Analyst

Experience Required: 3–5 years

Work Mode: Work from office, 4 days a week

Role Overview

We are looking for a detail-oriented Billing and Cash Application Analyst (CAA) to manage receipt entries, intercompany journal entries, accounts receivable reconciliations, and customer collections coordination. The ideal candidate will have strong communication skills and the ability to work cross-functionally with multiple stakeholders.

Key Responsibilities

Billing

• Generate and issue customer invoices accurately and within defined timelines
• Send customer outstanding statements and No Dues Certificates (NDC)
• Process credit memos, debit memos, and invoice adjustments as required
• Update the ERP invoice report to support cash application closure
• Maintain accurate customer master data (billing addresses, payment terms, contacts) in ERP

Cash Application (CAA)

• Create receipt entries in ERP and process journal entries (JEs) for payments received in one entity against invoices raised by another entity within the group
• Apply/allocate incoming payments (wire, ACH, check, credit card) against correct customer accounts and invoices
• Investigate and resolve unapplied/unidentified cash and short/excess payments
• Review customer reports and share overdue statements with the relevant team
• Monitor and manage customer any billing queries from customers
• Track Days Sales Outstanding (DSO) and support initiatives to improve collection efficiency
• Prepare AR aging analysis and highlight high-risk/delinquent accounts to management
• Perform bank reconciliation related to customer receipts
• Handle month-end AR and GST reconciliations from ERP to the tax/compliance portal
• Support write-off and bad debt provisioning process as per company policy

General / Cross-Functional

• Coordinate with PMOs, and Business team, including attending relevant meetings
• Perform balance sheet reconciliations
• Respond to and support audit-related queries
• Ensure adherence to internal controls and compliance requirements in billing and cash application processes
• Prepare and maintain SOPs/process documentation for billing and CAA activities
• Support system/process improvement and automation initiatives within AR

Required Skills & Qualifications

1. 3–5 years of experience in billing, cash application, or accounts receivable functions
2. Working knowledge of ERP systems (e.g., NetSuite, SAP, Oracle, or similar)
3. Strong understanding of AR processes, GST reconciliation, and balance sheet reconciliation
4. Good verbal and written communication skills is a must
5. Ability to coordinate effectively with cross-functional teams
6. Strong attention to detail and accuracy in financial data entry
7. Sound knowledge of cash applications, invoice-to-cash cycle, and deduction/dispute management
8. Proficiency in MS Excel (pivot tables, VLOOKUP/XLOOKUP, reconciliation formulas)
9. Analytical and problem-solving skills to identify and resolve discrepancies
10. Ability to work under deadlines, especially during month-end/quarter-end close
11. Basic understanding of GST/indirect tax as applicable.
12. Willingness to work from office 4 days a week

Preferred Qualifications

• Bachelor's degree in Commerce, Accounting, Finance, or related field
• Prior experience in a shared services or GCC (Global Capability Center) environment
• Exposure to intercompany accounting and multi-entity reconciliations
• Knowledge of India GST-related billing and compliance requirements will be an added advantage

Years of experience: 3 to 5 Years

Location:

Job Description

• Need a Sr. Cloudera administrator having 4+ to work with our team to manage a solution having 20+ PB of data and develop on CDP 7.1.9 Platform who can ensure the smooth operation of existing system and can help in integration with other system both downstream and upstream.
• Responsible for implementation and ongoing IPDR solution developed on Data platform CDP 1.7.9 infrastructure.
• Manage and support existing cloudera services as well as commission new nodes/services in the ecosystem using tools Cloudera Manager Performance tuning of Hadoop clusters and Hadoop MapReduce routines.
• Employ security using an authentication and authorization system such as Kerberos, . Must have good experience to secure the cluster by implementing user management using Kerberos, LDAP with a good understanding ACLs.
• Screen cluster job performances, capacity planning and rebalancing nodes in the cluster
• Troubleshooting system capacity, bottlenecks, basics of memory, CPU, OS, storage, and networks. Proving logical recommendations and applying Cloudera best practices.
• Monitor cluster connectivity and security.
• Manage and review application & system and log files
• File system management and monitoring.
• Familiarity with DevOps practices, including CI/CD pipelines, monitoring, and logging.
• Experience with tools like Zookeeper, Schema Registry, and Kafka Connect.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed environment
• Design, implement, and manage Kafka-based data pipelines and messaging solutions to support critical business operations and enable real-time data processing.
• Configure, deploy, and maintain Kafka clusters, ensuring high availability and scalability to maximize uptime and support business growth.
• Develop and maintain Kafka connectors such as JDBC, MongoDB, and S3 connectors, along with topics and schemas, to streamline data ingestion from databases, NoSQL data stores, and cloud storage, enabling faster data insights.
• Familiarity with apache open-source configuration management and deployment tools
• Apply Patches and enable new components from the Hadoop ecosystem
• Working experience on Cloudera Distribution.
• Strong knowledge of Impala parameter configuration
• Maintain documentation of Kafka environments, configurations, and processes to ensure knowledge transfer, compliance, and smooth team collaboration.
• Strong knowledge of Object storage Ozone and parameter configuration of Iceberg table configuration.
• Cloudera skills like HDFS, HBase, Hive, Impala, Kudu, Spark 3.x , Iceberg etc.
• Good understanding of Linux Commands and Shell Scripting
• Good understanding of Security, Kerberos etc

Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 4-7 years of experience as a Cloudera Admin/Developer.
• Strong expertise in Cloudera Hadoop, Kafka, Impala, Cloudera Manager, and related big data technologies.
• 4-7 years of experience working with Apache Kafka in a production environment.
• Proficiency in Linux/Unix administration.
• Experience with scripting languages such as Python, Shell, or Perl.
• Solid understanding of Hadoop ecosystem components (HDFS, YARN, MapReduce, Hive, HBase, etc.).
• Proficiency in Java, Scala, or Python for Kafka-related development tasks.
• Experience with data ingestion tools (Sqoop, Flume, Kafka) and data processing frameworks (Spark, Flink).
• Knowledge of database management systems and SQL.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Years of experience: 4 to 7 Years

Location:

• Key Responsibilities

  • Lead and mentor QA Automation team.
  • Develop and implement automation strategies.
  • Design, develop, and execute automated tests.
  • Analyze results and report to the team.
  • Collaborate with cross-functional teams.
  • Stay updated with industry best practices.
  • Troubleshoot automation issues.
  • Oversee QA process improvements.

  Required Skills & Experience

  • Bachelor's degree in Computer Science or a related field.
  • 8–12 years of experience in QA automation.
  • Proficiency in automation tools like Selenium, Appium.
  • Strong programming skills in languages like Java, Python.
  • Experience with continuous integration tools like Jenkins.
  • Solid understanding of QA methodologies.
  • Excellent problem-solving and analytical abilities.
  • Effective communication and leadership skills.

Years of experience: 8 to 12 Years

Location:

Job Summary

We are seeking a highly skilled Senior DevOps Engineer – GCP to join our Cloud Infrastructure Engineering team. The ideal candidate will have extensive experience designing, implementing, automating, and managing cloud-native infrastructure on Google Cloud Platform (GCP).

This role will be responsible for building and maintaining scalable, secure, and highly available cloud infrastructure while driving Infrastructure as Code (IaC), Kubernetes platform engineering, CI/CD automation, and cloud governance initiatives. The successful candidate will work closely with development, security, and platform engineering teams to enable reliable software delivery and operational excellence.

Key Responsibilities

• Design, implement, and manage scalable cloud infrastructure on Google Cloud Platform (GCP)
• Build and maintain highly available Kubernetes environments using Google Kubernetes Engine (GKE)
• Develop and manage Infrastructure as Code (IaC) using Terraform
• Design, implement, and optimize CI/CD pipelines for automated application deployments
• Containerize applications using Docker and manage container orchestration using Kubernetes
• Automate infrastructure provisioning, configuration management, and deployment processes
• Monitor cloud environments to ensure availability, reliability, performance, and cost optimization
• Implement cloud security best practices, IAM policies, networking, and compliance controls
• Collaborate with application development teams to support cloud-native application deployments
• Troubleshoot infrastructure, deployment, networking, and Kubernetes-related issues
• Implement backup, disaster recovery, and high-availability strategies
• Create operational documentation, deployment standards, and infrastructure runbooks
• Participate in on-call support and production incident management when required

Required Technical Skills

Cloud Platform: Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Compute Engine, Cloud Storage, Cloud SQL, Cloud Load Balancing, Cloud DNS, Cloud IAM, Virtual Private Cloud (VPC), Cloud Monitoring & Logging (Cloud Operations Suite)

Containerization & Orchestration: Kubernetes, Docker, Helm, Kubernetes Networking, Kubernetes Security, Ingress Controllers

Infrastructure as Code: Terraform, Terraform Modules, Remote State Management, Infrastructure Automation

CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, Cloud Build, Argo CD (preferred)

Scripting & Automation: Bash, Python, Shell Scripting

Version Control: Git, GitHub, GitLab

Monitoring & Observability: Google Cloud Monitoring, Google Cloud Logging, Prometheus, Grafana, Alerting & Incident Management

Security: Identity & Access Management (IAM), Secret Management, SSL/TLS, Vulnerability Management, Container Security, DevSecOps Best Practices

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
• 5–8 years of experience in DevOps, Cloud Infrastructure, or Platform Engineering
• Strong hands-on experience with Google Cloud Platform (GCP)
• Experience managing production Kubernetes clusters using Google Kubernetes Engine (GKE)
• Proven expertise in Terraform and Infrastructure as Code practices
• Experience designing and maintaining CI/CD pipelines
• Strong understanding of Linux systems administration
• Experience working in Agile and DevOps environments
• Excellent troubleshooting, analytical, and problem-solving skills
• Strong communication and collaboration skills

Preferred Qualifications

• Google Professional Cloud DevOps Engineer Certification
• Google Professional Cloud Architect Certification
• Experience implementing GitOps using Argo CD or Flux
• Knowledge of service mesh technologies such as Istio
• Experience with cloud networking, hybrid cloud, or multi-cloud environments
• Familiarity with FinOps and cloud cost optimization practices
• Experience with policy-as-code tools such as Open Policy Agent (OPA)

Key Competencies

• Strong cloud infrastructure architecture and engineering expertise
• Passion for automation and operational excellence
• Ability to design secure, scalable, and resilient cloud platforms
• Strong ownership and accountability
• Excellent stakeholder management and cross-functional collaboration skills
• Continuous improvement mindset and eagerness to adopt emerging cloud technologies

Nice to Have: Anthos, Argo CD, Istio, Cloud Armor, Cloud CDN, BigQuery, Pub/Sub, Redis, Vault, SonarQube, Trivy, Snyk, Jira, Confluence

Years of experience: 5 to 8 Years

Location:

What this person does

•Sets up and manages MCP (Model Context Protocol) connectors for Microsoft products in use.

•Configures and extends Copilot Studio and Power Platform for 6Sense workflows

•Manages the M365 environment, specifically within the E3 license tier

•Advises client on what is and is not included in their E3 plan, and what Copilot unlocks vs. requires add-on licensing

•Acts as the internal authority on the Microsoft AI stack for the squad

Required background

•8+ years in Microsoft 365 ecosystem delivery

•Copilot Studio hands-on experience with shipped implementations, not just familiarity

•Power Platform (Power Automate, Power Apps) at a lead level

•M365 tenant administration and governance experience

•Specific experience with E3 licensing; client runs on E3 and this is a firm requirement

•MCP connector development or configuration experience

•Ability to advise on license boundaries — what Copilot features require E5 or add-ons

Years of experience: 8 to 12 Years

Location:

Responsibilities:

• Troubleshoot data center servers and fix connectivity, update, and serviceability issues.
• Develop and maintain full-stack applications using Node, React, MongoDB, and other relevant technologies.
• Write application interface codes using JavaScript following React.js and Angular workflows.
• Implement and maintain MERN development standards and best practices.
• Ensure proper server, storage data protection performance.
• Control and limit authentication, server, and storage data protection access compliance with security policies and best practices.
• Develop web applications primarily using Angular, TypeScript, and Java.
• Validate client interface HTML pages using JavaScript and jQuery.
• Collaborate with cross-functional teams to complete redesign projects and build large-scale distributed systems.
• Write high-quality code and conduct code quality tests using relevant frameworks such as Angular and React.

Requirements:

• Hands-on experience with Express.js, Node.js, and full-stack React development.
• Expertise in developing and maintaining applications using Angular, React, and other JS frameworks.
• Knowledge of PC/server architecture and server operating systems.
• Familiarity with server hardware architecture and server performance optimization.
• Strong command of the JavaScript language and common design patterns.
• Experience working with client-side frameworks like Angular, React, and Vue.
• Excellent communication skills and ability to work collaboratively in a team environment.

Years of experience: 6 to 10 Years

Location:

• Responsibilities

  • Define roadmap transition steps from current state to future applications architecture solution
  • Design and engineer applications in the Cloud, leveraging deep expertise in various AWS technologies and services
  • Architect AWS network architecture including VPN connectivity and design AWS network architecture
  • Develop data pipelines and build data lake in AWS using technologies like EC2, S3, Lambda, Glue, Dynamo DB, Redshift, etc.
  • Automate day-to-day tasks such as server provisioning, configuration management, service management, and managing AWS resources
  • Collaborate with Sales & Solutions Architect to provide transitional services to customers migrating to the cloud
  • Participate in key architectural design review sessions and provide architectural roadmap to development teams
  • Provide architectural guidance on various Azure cloud technologies to deliver exceptional customer experiences
  • Estimate the financial impact of architectural alternatives and define, architect, and execute organizational plans to fulfill business strategies
  • Serve as a part of a dynamic cloud team and continuously upskill in the latest cloud technologies
  • Possess hands-on expertise in migrating various workloads to the AWS platform and integrating experience with AWS
  • Design and optimize the operational aspects of the cloud platform with a focus on security
  • Collaborate with a globally distributed team to provide innovative and robust cloud-centric solutions
  • Develop architectural solutions related to cloud migration and cloud-native development for large enterprises
  • Work on cloud integration projects and Proof of Concepts (POCs) in an AWS-dominant environment
  • Understand and articulate the technical merits and value of cloud computing and build and implement complex data solutions in the cloud
  • Perform ROI and TCO analysis on technology solutions and automate orchestration aspects of solution delivery
  • Ensure models are kept up-to-date and relevant in the technology portfolio

  Requirements

  • Must have experience developing cloud-native applications on public cloud platforms like AWS, Azure, and GCP
  • Proficiency in full-stack development with a focus on core Java, Spring Boot, React, and cloud AWS experience
  • Demonstrated in-depth technical knowledge and experience with AWS cloud, Azure cloud knowledge preferred
  • Architect certification such as AWS Certified Solution Architect Associate/Professional is preferred
  • Experience with tools like Chef, Node.js, Jenkins, Bitbucket/GitHub, and AWS CodePipeline is a plus
  • Strong expertise in cloud environments such as AWS, Google Cloud, and Azure
  • Knowledge of cloud monitoring and management systems, as well as cloud networking architecture, security, and automation

Years of experience: 9 to 15 Years

Location:

Roles & Responsibilities:

• Lead the design, development, and implementation of C# applications with a focus on scalability, performance, and security.
• Architect and build containerized applications using Docker and Kubernetes.
• Define and enforce coding standards, design patterns, and best practices for the team.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Design and develop microservices-based architecture for complex enterprise applications.
• Implement and manage Microsoft SQL server, PostgreSQL databases, ensuring data integrity, performance, and security.
• Utilize New Relic for application logging, monitoring, and performance analysis.
• Implement CI/CD pipelines for automated deployment and monitoring.
• Conduct code reviews, mentor team members, and provide technical guidance.
• Troubleshoot and resolve performance and scalability issues in applications.
• Evaluate new technologies, tools, and frameworks to enhance the development process.
• Participate in architectural discussions and contribute to the overall technical strategy.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 8+ years of hands-on experience in C# development with a deep understanding of object-oriented principles.
• Strong experience with Kubernetes and Docker for container orchestration and management.
• In-depth understanding of design patterns and SOLID principles.
• Experience in designing and implementing microservices architecture.
• Hands-on experience with PostgreSQL database management and optimization.
• Familiarity with New Relic for application logging and monitoring.
• Experience in implementing CI/CD tools (e.g., Jenkins, GitLab CI/CD, Azure DevOps).
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
• Strong understanding of RESTful APIs, Web Services, and integration techniques.
• Excellent problem-solving skills and the ability to work independently or in a team.
• Experience with version control systems (e.g., Git) and agile development methodologies.
• Knowledge of logging and monitoring tools (e.g., Newrelic, ELK Stack, Prometheus, Grafana).

Years of experience: 8 to 11 Years

Location:

• Responsibilities

  • Write Node.js code to develop APIs integrating multiple AWS services
  • Create custom, general use modules and components to extend elements of core AngularJS
  • Align server, storage data protection architecture strategy with respective roadmaps
  • Oversee proper server, storage data protection performance monitoring
  • Implement front-end applications using Angular/React, and LESS/SASS
  • Control and limit authentication, server, and storage data protection access compliance
  • Develop and validate client interfaces on HTML pages using JavaScript and jQuery

  Requirements

  • Strong hands-on experience with JavaScript and Hybrid Mobile Application development
  • Experience with Docker in the context of Node.js microservices
  • Good knowledge of TypeScript, Angular, React, and other relevant frameworks
  • Mastery of HTML, HTML5, CSS, CSS3, JavaScript, and jQuery
  • Experience working with front-end technologies like JavaScript, HTML5, and CSS3
  • Familiarity with server-side knowledge advantageous for the position
  • Proficiency in at least one language used in web development such as Python, Java, or JavaScript
  • Experience in full-stack development with React, Node.js, and databases
  • Strong understanding of React.js, Angular, and JavaScript
  • Ability to design and build solutions using .NET Core, React, TypeScript, and SQL Server or Azure technologies

Years of experience: 5 to 9 Years

Location:

Responsibilities:

• Contribute to the design and implementation of systems related to Site Reliability Engineering and System Integration Testing.
• Provide support in Production for Site Reliability Engineering and System Integration Testing.
• Collaborate with cross-functional teams to automate tests and enhance reliability.
• Troubleshoot and resolve issues related to information systems.

Requirements:

• 7 to 10 years of experience in roles involving SRE, SIT Support, Production Support, and Test Automation.
• Proficiency in SRE methodologies, SIT Support, and Production Support.
• Experience with relevant tools like Kubernetes, Jenkins, Git, Docker, Ansible, etc.
• Strong background in DevOps, including CI/CD pipelines and automation.
• Familiarity with Agile and DevOps methodologies.
• Experience in maintaining production servers and ensuring system availability.

Desired Skills:

• Knowledge of scripting languages like Python and Unix/Linux shell scripting.
• Experience with DevOps tools such as New Relic, Splunk, Jenkins, Git, etc.
• Certification in DevOps or relevant field (e.g., Google Cloud Certified Professional Cloud DevOps, AWS Certified Solutions Architect, etc.).
• Strong understanding of DevOps platform tooling like Ansible, Terraform, Puppet, Docker.

Years of experience: 7 to 10 Years

Location:

We are seeking a skilled Adobe Workfront Fusion Consultant to design, develop, and maintain automated workflows and integrations using Adobe Workfront Fusion. The ideal candidate will have experience in workflow automation, API integrations, and Workfront administration to streamline business processes and improve operational efficiency.

Key Responsibilities:

• Design, build, and maintain automation scenarios using Adobe Workfront Fusion.
• Integrate Adobe Workfront with third-party applications using APIs, webhooks, and connectors.
• Analyze business requirements and translate them into scalable automation solutions.
• Troubleshoot and optimize existing Fusion scenarios for performance and reliability.
• Collaborate with business stakeholders, Workfront administrators, and technical teams.
• Create technical documentation and provide knowledge transfer to support teams.
• Ensure adherence to best practices, governance, and security standards.

Required Skills:

• Hands-on experience with Adobe Workfront Fusion.
• Knowledge of Adobe Workfront configuration and administration.
• Experience with REST APIs, JSON, webhooks, and integration concepts.
• Familiarity with SaaS integrations (e.g., Microsoft 365, Salesforce, Jira, SAP, Slack, Adobe Experience Cloud).
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Years of experience: 4 to 7 Years

Location:

Senior Sitecore Back-End Developer

Location: [Onsite/Remote/Hybrid]
Job Type: [Full-time]
Experience: 7+ years in Software Development, 5+ years with Sitecore XP/XM

Job Summary

We are seeking a Senior Sitecore Back-End Developer with extensive experience in Sitecore XP/XM development and the Microsoft technology stack. The ideal candidate will be responsible for designing, developing, and maintaining Sitecore-based enterprise solutions, integrations, content architectures, and business logic while ensuring scalability, security, and performance.

The candidate must possess a solid understanding of Sitecore XP 10+ architecture, including Content Management (CM), Content Delivery (CD), publishing, caching, indexing, personalization, and Sitecore platform internals.

Key Responsibilities

• Design, develop, and maintain Sitecore XP/XM solutions.
• Develop custom Sitecore components, renderings, templates, pipelines, processors, and workflows.
• Configure and manage Sitecore content architecture and data templates.
• Build and maintain integrations with third-party systems, APIs, CRM, ERP, marketing, and enterprise platforms.
• Develop RESTful APIs and service-layer components.
• Support Sitecore search implementation using Solr.
• Optimize application performance, caching strategies, indexing, and content delivery.
• Troubleshoot complex Sitecore platform issues across environments.
• Participate in deployment, release management, CI/CD, and DevOps activities.
• Collaborate with front-end developers, architects, QA, and business stakeholders.
• Follow Sitecore and .NET development best practices.

Required Skills & Qualifications

1. 7+ years of software development experience.
2. 5+ years of Sitecore development experience.
3. Strong experience with Sitecore XP/XM 10+.
4. Strong proficiency in C#, ASP.NET MVC, .NET Framework, and .NET Core.
5. Deep understanding of Sitecore Architecture (CM/CD),Sitecore Templates and Content Modelling, Workflows and Publishing, Sitecore Pipelines, Security and Permissions, Caching Strategies, Solr Search, Serialization and Content Deployment.
6. Experience with REST APIs and integration patterns.
7. Experience with SQL Server.
8. Experience with Git, Azure DevOps, and CI/CD pipelines.
9. Familiarity with Microsoft Azure services.
10. Strong troubleshooting and problem-solving skills.

Nice to Have

• Sitecore Certification (10.x).
• Experience with SXA.
• Experience with Sitecore Personalize, CDP, or xDB.
• Docker and containerization experience.
• Experience with API-first and microservices architectures.
• Experience in large-scale enterprise web platforms.

Years of experience: 7 to 12 Years

Location:

We are seeking an experienced AWS Cloud DevOps Engineer to support the engineering, deployment, and ongoing operations of our cloud infrastructure. This role plays a critical part in advancing cloud recovery strategies, enterprise platform deployments, and security posture across Tier 0 and Tier 1 clinical and research systems.

The primary responsibility of this role is to monitor our ticket queue and use Infrastructure as Code (Terraform or Ansible) to identify and resolve issues within our infrastructure — essentially functioning as an SRE for Cloud Platform Engineering.

The ideal candidate thrives in a regulated healthcare environment, brings hands-on AWS expertise, and is comfortable operating across infrastructure automation, security tooling, and enterprise application delivery. Since we are now operating in a multi-cloud environment, familiarity with Azure is a plus.

Cloud Recovery & Business Continuity

•Design, implement, and validate Cloud Recovery Strategies for Tier 0 and Tier 1 mission-critical applications on AWS

•Implement Phase 1B Research DR (Disaster Recovery) in cloud as part of the Next Generation Storage Technologies initiative

Cover Enterprise Applications

•Deploy and operationalize the Enterprise Digital Pathology Platform on AWS

•Provision new infrastructure components and create cloud-based infrastructure using AWS CloudFormation, Terraform, or equivalent IaC templates

•Create and manage new cloud services and on-premise infrastructure integrations as directed by the team

Security & Compliance

•Implement security tools and enforce standards across Managed Cloud Platforms

•Author and apply security policies in coordination with the IT Security team

•Maintain continuous compliance with organizational coding, testing, and security standards

•Ensure all cloud configurations adhere to HIPAA/HITECH requirements and relevant healthcare industry standards

Automation & Infrastructure-as-Code

•Develop, maintain, and enhance automation scripts to reduce manual operations and improve deployment repeatability

•Leverage AWS-native services (Lambda, Systems Manager, EventBridge, Step Functions) and CI/CD tooling to automate infrastructure lifecycle tasks

•Build and manage cloud templates for repeatable, compliant infrastructure provisioning

Documentation & Governance

•Store all source code and artifacts in designated systems, including documentation wikis and source code versioning platforms (e.g., Git/Bitbucket)

•Save all documentation and deliverables to designated systems on a daily basis

•Log all time accurately into the time tracking system on a weekly basis

•Attend and contribute to AWS Cloud project meetings, security reviews, and stakeholder sessions

Education

•Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent professional experience)

Experience

•5+ years of hands-on cloud engineering or DevOps experience

•3+ years working directly with Amazon Web Services in a production environment

•Demonstrated experience with DR/BCP implementations on cloud platforms

•Experience in regulated industries (healthcare, finance, or government) strongly preferred

Technical Skills

The primary responsibility of this role will be to watch our Ticket queue and use IaC (Terraform or Ansible) to correct issues within our Infrastructure. Think of it as an SRE role for Cloud Platform Engineering.

•AWS Core Services: EC2, S3, VPC, IAM, RDS, Route 53, ELB, Auto Scaling, CloudWatch, CloudTrail

•Infrastructure as Code: CloudFormation, Terraform, CDK

•CI/CD Pipelines: Jenkins, GitHub Actions, AWS CodePipeline / CodeBuild / CodeDeploy

•Containerization & Orchestration: Docker, Amazon ECS, EKS (Kubernetes)

•Scripting & Automation: Python, Bash, PowerShell

•Security Tooling: AWS Security Hub, GuardDuty, Config, Inspector, IAM Policy Management

•Storage Technologies: EBS, EFS, S3 Glacier, FSx, and emerging cloud storage solutions

•Networking: VPN, Direct Connect, Transit Gateway, Security Groups, NACLs

•Monitoring & Observability: CloudWatch, Datadog, Splunk, or equivalent

Good To have

• Azure DevOps skills

Certifications (Preferred)

•AWS Certified Solutions Architect – Associate or Professional

•AWS Certified DevOps Engineer – Professional

•AWS Certified Security – Specialty

•HashiCorp Terraform Associate

•Strong written and verbal communication — able to translate technical concepts for non-technical stakeholders

•Ability to work effectively in a matrixed, cross-functional healthcare IT environment

•Meticulous documentation habits and discipline in adhering to governance and compliance processes

•Self-directed and organized, capable of managing multiple concurrent workstreams

•Collaborative mindset with the ability to partner with security, infrastructure, and clinical teams

Years of experience: 5 to 9 Years

Location:

Senior QA Engineer (Manual) – Zuora Specialist

About the Role

We're looking for a Senior Manual QA Engineer with deep Zuora expertise to own quality across our billing, subscription, and revenue workflows. This role suits someone who thrives with autonomy — comfortable owning test strategy end-to-end, making sound judgment calls without heavy oversight, and adapting to shifting priorities across time zones or sprint cycles.

Key Responsibilities

• Design, execute, and maintain manual test cases for Zuora-based billing, subscription, invoicing, and revenue recognition workflows
• Validate integrations between Zuora and Salesforce Sales Cloud/CPQ, payment gateways, and downstream financial systems
• Test complex subscription lifecycle scenarios: amendments, renewals, upgrades/downgrades, proration, usage-based billing, and cancellations
• Perform end-to-end regression testing across Zuora Billing, Zuora CPQ, and Zuora Revenue modules
• Validate the full quote-to-cash flow: opportunity → CPQ quote → order → billing → revenue, ensuring data integrity at each handoff
• Validate data integrity across order-to-cash flows, including tax calculations, credit memos, and payment runs
• Identify, document, and track defects with clear reproduction steps, working closely with developers and BSAs to resolution
• Independently prioritize testing efforts based on release scope, risk, and business impact — with minimal day-to-day supervision
• Collaborate asynchronously with distributed teams (developers, product owners, release managers) across time zones
• Contribute to test plan documentation, UAT support, and sign-off criteria for releases
• Flag process or configuration gaps proactively (e.g., stale field mappings, workflow rule conflicts) rather than waiting for direction

Required Qualifications

• 5+ years of manual QA experience, with 3+ years specifically testing Zuora (Billing, CPQ, and/or Revenue)
• Strong understanding of subscription billing concepts: rate plans, charges, proration, invoicing schedules, usage-based pricing
• Hands-on CPQ knowledge — testing quote configuration, pricing rules, product bundles, approval workflows, and quote-to-order conversion
• Working knowledge of Salesforce Sales Cloud — opportunities, accounts, contacts, and how these feed into the quote-to-cash cycle
• Experience testing Zuora integrations with Salesforce or other CRM/CPQ systems
• Solid grasp of SQL for data validation and troubleshooting
• Demonstrated ability to work independently — managing own test schedule, escalating only when truly blocked
• Comfortable with flexible/non-standard hours to support distributed or global teams
• Excellent written communication for async collaboration (test docs, defect reports, Slack/Jira updates)
• Experience with defect tracking and test management tools (Jira, Zephyr, TestRail, or similar)

Nice to Have

• Familiarity with Agile/Scrum ceremonies and story point estimation for QA effort
• Exposure to Zuora Revenue (RevPro) and ASC 606 revenue recognition testing
• Basic scripting/automation exposure (even if role is primarily manual)
• Experience in SaaS or subscription-based industries
• Salesforce or Zuora certifications (e.g., Zuora Billing Certified, Salesforce Administrator)

Years of experience: 5 to 8 Years

Location:

Infrastructure Decommissioning Engineer

Role Overview

We are seeking Engineers to join a team that technically coordinates and accelerates the demise of on-premises infrastructure — file storage (NAS), CPU Cores — linked to applications that have been decommissioned as part of a firmwide cloud migration. This is a high-visibility program partnering with senior application owners and storage teams to ensure timely, compliant, and well-communicated infrastructure reclamation across the organization.

Key Responsibilities

Infrastructure Identification & Cataloguing

• Identify and catalogue residual NAS file shares, CPU allocations, and object storage linked to decommissioned applications.
• Analyse data in Excel and internal tools to identify decommissioning candidates and measure outcomes.
• Engage application owners to notify them of remaining infrastructure and secure formal approval for deletion.

Execution

• Raise and manage Change Requests for approved decommissioning actions.
• Work with Storage, Compute, and Platform teams to execute permanent infrastructure removal.
• Track progress, escalations, and blockers via Jira — maintain clean boards and accurate status at all times.
• Produce and distribute structured notifications, reports, and dashboards to stakeholders and senior leadership.

Process Improvement & Automation

• Maintain a rigorous approach to operational excellence; proactively follow up on outstanding approvals and escalate delays per SLA with clear professional communication.
• Continuously improve processes, templates, and automation to increase decommissioning throughput.
• Work with cross-functional infrastructure and platform teams; demonstrate an aptitude for learning new workflows and tooling as necessary.

Technical Skills

Basic Qualifications

• Bachelor's or Master's in Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
• 3–5 years of professional experience in infrastructure management, technology project delivery, and/or enterprise-scale environments involving large numbers of business-critical applications.
• Unix/Linux Shell Scripting; basic proficiency in Python (scripting, automation, data manipulation).
• Familiarity with change management processes in regulated financial industries.

Core Infrastructure Competencies

• NAS / File Storage: Understanding of mounts, shares, volumes, quotas, and lifecycle management.
• CPU / Compute Infrastructure: Familiarity with on-prem capacity management and decommissioning procedures.
• Object Storage: Awareness of cloud/on-prem object stores and data retention policies.
• Development Environments: Working knowledge of IDEs such as VS Code, IntelliJ IDEA, and PyCharm.
• AI & Automation Tools: Familiarity with AI engines and assistants (e.g., GitHub Copilot, ChatGPT, Gemini) to accelerate operational tasks and reporting.

Technical Stack Requirements

Core Competencies

• Acts as a trusted team player who collaborates effectively across multiple teams and functions.
• Communicates with clarity and confidence — concise written updates, structured verbal briefings, and proactive stakeholder management.
• Works effectively with global teams across time zones and cultures; builds alignment and resolves issues constructively.
• Delivery-focused with a strong sense of ownership; drives work to closure and meets commitments.
• Brings high energy and urgency to achieve targets while maintaining quality and professionalism.
• Shows intellectual curiosity; asks thoughtful questions, surfaces risks early, and seeks feedback to continuously improve.

Years of experience: 3 to 5 Years

Location:

Cloud Migration Engineer

About the Role

We are seeking a highly skilled AWS Cloud Migration Engineer to join the team and support a high-visibility on-prem-to-cloud compute migration project. This role will focus on workload discovery, capacity planning, platform configuration, migration execution, validation, performance tuning, automation, and legacy host decommissioning. The ideal candidate will bring strong hands-on engineering experience, a structured delivery mindset, and the ability to collaborate effectively with application, infrastructure, and platform teams to execute migrations safely and at scale.

Key Responsibilities

• Assess on-prem hosts and perform discovery across business processes, CPU, memory, storage, dependencies, and runtime patterns to determine migration readiness
• Analyze workloads based on functionality, business criticality, resiliency requirements, and interruption tolerance to determine appropriate cloud compute placement
• Plan and provision required cloud infrastructure capacity to support migration, testing, and production execution
• Execute UAT and production parallel testing, compare outcomes, capture evidence, and troubleshoot discrepancies through closure
• Perform performance tuning and optimization to ensure migrated workloads are stable, scalable, efficient, and production ready
• Partner with application engineering, infrastructure, and platform teams to finalize migration plans, release approach, validation criteria, and rollback considerations
• Manage release readiness, execute production deployment activities, and complete post-release checkout and validation procedures
• Support legacy on-premises host decommissioning after successful migration and validation
• Design, enhance, and implement automation frameworks and AI-assisted solutions to enable repeatable, efficient, large-scale cloud migrations
• Document migration procedures, operational learnings, risks, and best practices to improve the factory execution model

Required Qualifications

Basic Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related quantitative discipline
• Experience: 3–5 years of hands-on engineering experience in a collaborative, team-based environment
• Programming: Professional proficiency in Python, Java, or a similar programming/scripting language
• Systems: Strong Unix/Linux fundamentals with the ability to troubleshoot application, deployment, environment, and runtime issues
• Methodology: Familiarity with SDLC practices, CI/CD delivery models, change management, and Kubernetes-based deployments

Technical Competencies

Candidates are not expected to be experts in every tool, but should bring strong hands-on experience across several of the following areas:

• AWS Services: Hands-on experience with AWS compute and migration patterns, including ECS, EKS, Lambda, CloudWatch, and related cloud services
• Cloud Migration: Practical understanding of on-prem to cloud migration strategies, workload assessment, testing, cutover, and post-migration validation
• Programming and Automation: Experience with Python, Java, Shell, or similar languages to build scripts, utilities, and automation frameworks
• APIs and Integration: Working knowledge of RESTful APIs, API design, and API Gateway patterns
• CI/CD and Version Control: Strong experience with GitLab, Jenkins, Maven, or similar tools supporting automated build, test, and deployment pipelines
• Batch Scheduling: Experience with batch scheduling platforms such as Autosys, Control-M, Cron, or equivalent workflow orchestration tools
• Observability: Familiarity with monitoring, logging, alerting, and troubleshooting using tools such as CloudWatch, Splunk, or equivalent platforms
• Automation Excellence: Ability to design repeatable automation and apply AI-assisted engineering approaches to improve migration scale, quality, and efficiency

Core Competencies

• Exceptional analytical, troubleshooting, and debugging skills
• Strong ownership mindset with the ability to drive work to closure and meet commitments
• Clear written and verbal communication, including concise status updates, structured briefings, and proactive stakeholder management
• Effective collaboration across application, infrastructure, platform, and global engineering teams
• Ability to work constructively across time zones, build alignment, and resolve issues with urgency and professionalism
• Strong integrity, sound judgment, and commitment to good conduct and ethical decision-making
• High energy, intellectual curiosity, and willingness to surface risks early, ask thoughtful questions, and continuously improve

Years of experience: 3 to 5 Years

Location:

AI Engineer

Role Overview

In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take action in production environments — improving productivity and resolving production support issues.

What You'll Do

Build Agentic AI Systems

• Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following the MCP protocol
• Engineer robust guardrails for safety, compliance, and least-privilege access

Productionize LLMs

• Build an evaluation framework for open-source and foundational LLMs
• Implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations

Integrate with Runtime Ecosystems

• Connect agents to observability, incident management, and deployment systems
• Enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability

Collaborate Directly with Users

• Partner with production engineers and application teams to translate production pain points into agentic AI roadmaps
• Define objective functions linked to reliability, risk reduction, and cost
• Deliver auditable, business-aligned outcomes

Safety, Reliability, and Governance

• Build validator models, adversarial prompts, and policy checks into the stack
• Enforce deterministic fallbacks, circuit breakers, and rollback strategies
• Instrument continuous evaluations for usefulness, correctness, and risk

Scale and Performance

• Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation
• Leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load

Build a RAG Pipeline

• Curate domain knowledge and build a data-quality validation framework
• Establish feedback loops and a milestone framework to maintain knowledge freshness

Raise the Bar

• Drive design reviews, experiment rigor, and high-quality engineering practices
• Mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns

Role Requirements

Essential Skills

1. Software Development: 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred
2. ML Systems: 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows
3. LLM Experience: Practical experience with Large Language Models (LLMs) — API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution)
4. Model Knowledge: Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude)
5. Foundational Knowledge: Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions
6. Core Competencies: Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact
7. Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation)

Minimum Experience

1. 5+ years of software development experience, including 3+ years designing and launching production ML systems

Years of experience: 5 to 9 Years

Location:

About the Role
We are looking for a Senior Full Stack Developer with 6+ years of experience in Python, React.js, MongoDB, AWS, and Terraform to design, build, and maintain scalable cloud-native applications. You will own end-to-end feature delivery — architecting robust Python backend services and APIs alongside high-performance React frontends — backed by MongoDB data stores and deployed on AWS using Terraform-managed infrastructure. You will collaborate closely with architects, product owners, and cross-functional engineering teams to deliver high-quality, secure, and maintainable full stack solutions in an Agile environment.

Key Responsibilities

Backend — Python

• Design, develop, and maintain scalable Python backend services and RESTful APIs using FastAPI, Flask, or Django — applying clean architecture, SOLID principles, and production-grade best practices.
• Build asynchronous backend services using Python async frameworks for high-throughput, low-latency workloads.
• Implement background task processing using Celery — ensuring reliable, scalable execution of long-running and scheduled jobs.
• Write comprehensive unit and integration tests using Pytest — maintaining high code coverage and regression confidence across all backend deliverables.
• Enforce code quality standards using Black, Flake8, and MyPy — contributing to a clean, well-typed, and consistently formatted Python codebase.

Frontend — React

• Design and develop scalable, high-performance React.js applications using TypeScript and modern hooks — delivering accessible, responsive, and pixel-perfect user interfaces.
• Implement complex state management using Redux Toolkit, React Query, or Context API — ensuring predictable and performant application state across data-intensive frontends.
• Integrate React frontends with Python backend REST APIs and GraphQL services — managing asynchronous data flows, error handling, loading states, and cache strategies.
• Build reusable, well-documented React component libraries aligned to design system standards — using Storybook where applicable.
• Write comprehensive unit, component, and E2E tests using Jest, React Testing Library, and Cypress / Playwright.

MongoDB & Data

• Design and implement MongoDB data models — applying document schema design best practices, embedding vs referencing strategies, and indexing for query performance.
• Build and optimise MongoDB aggregation pipelines for complex data transformation, reporting, and analytics use cases.
• Manage MongoDB Atlas cloud database — configuration, monitoring, scaling, backup, and performance tuning.
• Implement Redis caching strategies — session management, API response caching, and rate limiting for high-traffic application workloads.
• Collaborate with data engineers and architects to design efficient data access patterns across MongoDB and relational database stores.

AWS & Terraform

• Design and deploy cloud-native full stack applications on AWS — leveraging EC2, ECS, EKS, Lambda, S3, DocumentDB, SQS, SNS, and API Gateway.
• Provision and manage AWS infrastructure using Terraform — developing reusable, modular Terraform configurations for reproducible, version-controlled cloud resource management.
• Implement AWS security best practices — IAM least-privilege policies, KMS encryption, Secrets Manager, and Cognito authentication — across frontend and backend application layers.
• Build and maintain serverless application components using AWS Lambda and Step Functions — designing event-driven, auto-scaling workloads for appropriate use cases.
• Configure AWS monitoring and observability — CloudWatch dashboards, X-Ray tracing, structured logging, and alerting — to maintain production health and support rapid incident resolution.
• Implement and manage CI/CD pipelines using GitLab CI or GitHub Actions — automating build, test, Terraform plan/apply, and deployment workflows across Dev, Test, and Production environments.

Architecture & Delivery

• Own end-to-end feature delivery — from MongoDB schema design and Python API development through to React UI implementation, testing, and AWS deployment.
• Contribute to architectural discussions and technical design reviews — providing full stack perspective on feasibility, complexity, data modelling, and implementation trade-offs.
• Collaborate with Solution Architects, UX Designers, Product Owners, QA Engineers, and DevOps teams in Agile sprint delivery.
• Conduct thorough code reviews — providing constructive technical feedback across Python, React, and Terraform codebases.
• Produce clear technical documentation — API contracts (OpenAPI / Swagger), MongoDB schema designs, Terraform module documentation, and architecture decision records.
• Mentor and support junior full stack developers — sharing knowledge across Python, React, MongoDB, and AWS domains.

What We're Looking For

1. 6+ years of full stack development experience with demonstrable hands-on expertise across Python backend, React frontend, MongoDB, AWS, and Terraform in production environments.
2. Strong Python proficiency — FastAPI, Flask, or Django — with proven REST API development, async programming, and clean architecture experience.
3. Solid React.js and TypeScript skills — Hooks, state management (Redux / React Query), API integration, and component architecture in large-scale production applications.
4. Deep MongoDB expertise — document schema design, aggregation pipelines, Atlas management, indexing, and query performance optimisation.
5. Strong AWS experience — EC2, ECS / EKS, Lambda, S3, SQS, SNS, IAM, API Gateway, and CloudWatch — in production cloud-native environments.
6. Proven Terraform skills — modular IaC design, remote state management, AWS resource provisioning, and CI/CD integration.
7. Experience with Docker and Kubernetes / EKS for containerised full stack application deployment.
8. Solid CI/CD experience — GitLab CI or GitHub Actions — for automated build, test, and deployment pipelines across frontend, backend, and infrastructure.
9. Strong understanding of software engineering fundamentals — SOLID principles, design patterns, TDD, clean architecture, and security best practices.
10. Excellent communication and collaboration skills — able to engage effectively with architects, product owners, and cross-functional teams.

Nice to Have

• Experience with GraphQL API development — Strawberry / Ariadne (Python) and Apollo Client (React).
• Familiarity with event-driven architecture — Apache Kafka, AWS EventBridge, or Kinesis.
• Knowledge of GenAI / LLM integration — LangChain, LlamaIndex — for AI-augmented full stack application features.
• Exposure to AWS Bedrock or SageMaker for AI / ML service integration.
• Experience with Next.js for SSR / SSG alongside React.
• Familiarity with Terragrunt for Terraform configuration management at scale.
• AWS Certified Developer Associate or AWS Solutions Architect certification.
• Experience in Financial Services, FinTech, Retail, or other regulated industry environments.

Years of experience: 6 Years

Location:

Adobe Experience Cloud – Delivery & Practice Leader

Key Responsibilities

Delivery Leadership

• Lead end-to-end delivery of Adobe Experience Cloud implementations, ensuring projects are delivered on time, within scope, and within budget.
• Drive successful execution of multiple Adobe engagements across AEM, AEP, RT-CDP, Adobe Analytics, Adobe Target, Adobe Campaign, and Adobe Journey Optimizer.
• Oversee project planning, resource allocation, risk management, and quality assurance.
• Ensure adherence to delivery methodologies, governance standards, and best practices.

Technical Leadership

• Provide architectural guidance and technical direction for Adobe Experience Cloud solutions.
• Review solution designs and ensure scalability, security, and maintainability.
• Mentor technical teams and promote engineering excellence and Adobe best practices.
• Support complex issue resolution and technical decision-making.

Stakeholder Management

• Collaborate with business stakeholders, clients, and executive leadership to understand business objectives and translate them into technology solutions.
• Act as the primary escalation point for delivery and technical issues.
• Present solution strategies, project status, and delivery updates to senior leadership.

Team Leadership

• Lead and mentor cross-functional teams, including architects, developers, business analysts, QA engineers, and project managers.
• Foster a collaborative, high-performance team culture.
• Support hiring, onboarding, capability development, and performance management.

Practice Development

• Contribute to the growth of the Adobe Practice by developing reusable assets, accelerators, frameworks, and best practices.
• Drive innovation by evaluating new Adobe products, features, and emerging technologies.
• Support capability-building initiatives through internal training and knowledge-sharing sessions.

Pre-sales & Solutioning

• Partner with sales and account teams during pre-sales activities.
• Lead solution design, effort estimation, technical proposals, and client presentations.
• Participate in RFP/RFI responses and solution demonstrations.
• Support business development by identifying opportunities for Adobe Experience Cloud services.

Governance & Quality

• Establish delivery governance, coding standards, and review processes.
• Ensure compliance with security, privacy, and regulatory requirements.
• Monitor delivery KPIs, project health, and customer satisfaction metrics.
• Drive continuous improvement initiatives across delivery processes.

Client Success

• Build and maintain strong client relationships.
• Ensure successful adoption of Adobe solutions and realization of business outcomes.
• Proactively identify opportunities for optimization, enhancements, and digital transformation.

Key Competencies

• Leadership and people management
• Program and project delivery
• Adobe Experience Cloud expertise (AEM, AEP, RT-CDP, Analytics, Target, Campaign, AJO)
• Enterprise solution architecture
• Agile delivery methodologies
• Stakeholder and client management
• Risk and issue management
• Financial and resource management
• Pre-sales and solution consulting
• Communication and presentation skills

Years of experience: 12 to 18 Years

Location:

About the Role
Senior QA Engineer with 8-10 years of experience in regulatory reporting and capital markets testing. You will validate data accuracy, report completeness, and regulatory submission integrity across APRA, ASIC, MiFID II, EMIR, and BCBS 239 frameworks — ensuring every regulatory report meets audit and compliance standards.

Key Responsibilities

• Design and execute test strategies for regulatory reporting programmes — APRA, ASIC, RBA, MiFID II, EMIR, Basel III / IV.
• Validate end-to-end regulatory report outputs — source to submission — ensuring accuracy, completeness, and timeliness.
• Write and execute advanced SQL queries for data reconciliation, ETL validation, and transformation logic testing.
• Build and maintain automated test frameworks using Python / Java, Selenium / Playwright, and BDD / Cucumber.
• Conduct reconciliation testing — comparing report outputs against golden source systems and identifying data breaks.
• Plan, coordinate, and execute UAT with risk, compliance, and regulatory operations stakeholders.
• Integrate automated test suites into CI/CD pipelines — implementing quality gates for regulatory reporting changes.
• Communicate quality status and defect reports to senior stakeholders including risk officers and internal audit.

What We're Looking For

1. 8-10 years years QA experience with strong focus on regulatory reporting and capital markets in Financial Services.
2. Deep knowledge of APRA prudential standards (APS 110 / 112 / 113 / 116) and ASIC derivative transaction reporting.
3. Advanced SQL skills — Oracle / SQL Server / PostgreSQL — for complex data validation and reconciliation.
4. Proven ETL / data pipeline testing expertise — source-to-target validation and data lineage traceability.
5. Strong test automation skills — Python / Java, Selenium / Playwright, REST API testing, CI/CD integration.
6. Experience managing UAT for regulatory change programmes with senior business and compliance stakeholders.
7. Excellent communication skills — able to produce clear sign-off evidence for APRA / ASIC audit requirements.

Nice to Have

• Experience with APRA regulatory reporting platforms — Axiom SL / Vermeg / FIS.
• Knowledge of capital markets products — Equities, Fixed Income, Derivatives, FX.
• Familiarity with trade lifecycle systems — Murex / Calypso / Finastra.
• ISTQB Advanced Level — Test Analyst or Test Manager certification.

Years of experience: 8 to 10 Years

Location:

About the Role
We are looking for a skilled Java Developer with 6+ years of experience to design, develop, and maintain enterprise-grade microservices and event-driven applications. You will bring strong expertise in Java, Spring Boot, and Apache Kafka — building scalable, resilient backend services deployed on Azure (preferred) or AWS cloud platforms. You will work closely with architects, product owners, and cross-functional engineering teams to deliver high-quality, cloud-native solutions that leverage modern messaging, API, and search capabilities at enterprise scale.

Key Responsibilities

Java & Spring Boot Development

• Design, develop, test, and maintain scalable Java microservices using Spring Boot — applying clean architecture, SOLID principles, and well-established design patterns for production-grade, maintainable codebases.
• Build and expose secure, well-documented RESTful APIs — following API-first design principles, OpenAPI / Swagger documentation standards, versioning strategies, and performance best practices.
• Develop and optimise data access layers using Spring Data JPA / Hibernate — managing complex entity relationships, query optimisation, and database migration strategies across relational and NoSQL databases.
• Write comprehensive unit and integration tests using JUnit and Mockito — maintaining high code coverage and regression confidence through test-driven development practices.
• Participate actively in code reviews — providing constructive technical feedback and upholding coding standards, security practices, and architectural consistency across the team.

Apache Kafka & Event-Driven Architecture

• Design and implement event-driven microservices using Apache Kafka — developing producers, consumers, and Kafka Streams applications with Spring Kafka for reliable, scalable messaging at enterprise scale.
• Design Kafka topic architecture — defining partitioning strategies, replication factors, retention policies, and consumer group configurations aligned to throughput, ordering, and fault-tolerance requirements.
• Implement robust error handling patterns — Dead Letter Queues (DLQ), retry strategies, and poison pill handling — ensuring resilient, recoverable Kafka consumer behaviour in production.
• Configure Kafka Schema Registry with Avro or Protobuf — enforcing schema evolution governance and backward / forward compatibility across event-driven service boundaries.
• Implement exactly-once semantics and delivery guarantee patterns where business requirements demand strong consistency across distributed event streams.
• Monitor and troubleshoot Kafka cluster health — consumer lag, partition rebalancing, broker performance, and throughput metrics — using Kafka UI, Confluent Control Centre, or equivalent monitoring tools.

Azure Cloud (Preferred)

• Design and deploy cloud-native Java microservices on Azure — leveraging AKS, App Services, Azure Functions, and Azure Container Registry for scalable, managed application hosting.
• Integrate applications with Azure messaging services — Azure Service Bus, Event Hub, and Event Grid — alongside Kafka for hybrid event-driven architectures where applicable.
• Implement Azure security best practices — Managed Identities, Azure Key Vault, Azure AD RBAC, and Private Endpoints — ensuring secure, least-privilege access across all application and infrastructure components.
• Configure Azure monitoring and observability — Application Insights, Azure Monitor, and Log Analytics — providing comprehensive production visibility and enabling rapid incident detection and resolution.
• Build and maintain CI/CD pipelines using Azure DevOps — automating build, test, security scanning, and deployment workflows across Dev, Test, and Production environments on Azure.
• Manage Azure database services — Azure SQL, Cosmos DB, and Azure Database for PostgreSQL — designing efficient data access patterns and optimising query performance for microservices workloads.

OpenSearch Integration (Good to Have)

• Design and implement OpenSearch index mappings and search queries — building full-text search, faceted filtering, and relevance-tuned search experiences integrated with Spring Boot microservices.
• Develop OpenSearch aggregation pipelines for analytics, reporting, and real-time data summarisation use cases within the application platform.
• Integrate Spring Boot services with OpenSearch using Spring Data OpenSearch / Elasticsearch — managing index lifecycle, query DSL, and search result mapping.
• Optimise OpenSearch search performance — analysers, tokenisers, query caching, and shard management — for low-latency, high-relevance search at scale.

Architecture & Delivery

• Contribute to microservices architecture design — applying DDD, CQRS, Event Sourcing, and Saga patterns to deliver loosely coupled, independently deployable services.
• Collaborate with Solution Architects, Business Analysts, Product Owners, and DevOps teams — translating complex requirements into well-architected, cloud-native technical solutions in Agile sprints.
• Troubleshoot and resolve complex production issues — performance bottlenecks, Kafka consumer lag, cloud service failures, and distributed system failures — under production pressure.
• Produce clear and concise technical documentation — API contracts, event schemas, architecture decision records, and deployment runbooks.
• Mentor and support junior Java developers — sharing knowledge across Spring Boot, Kafka, and Azure domains.

What We're Looking For

1. 6+ years of hands-on Java development experience with a strong track record of delivering enterprise microservices in production environments.
2. Deep expertise in Spring Boot — Spring MVC, Spring Cloud, Spring Security, and Spring Kafka — with strong understanding of microservices design patterns.
3. Proven Apache Kafka experience — producer / consumer development, Kafka Streams, topic design, error handling, and Schema Registry in production event-driven systems.
4. Strong Azure cloud experience (preferred) — AKS, App Services, Service Bus, Event Hub, Key Vault, Azure AD, Application Insights, and Azure DevOps.
5. Working knowledge of AWS cloud services — EC2, EKS, SQS, SNS, MSK, IAM — as an alternative or complementary cloud platform.
6. Solid database skills — relational (Azure SQL / PostgreSQL / MySQL) and non-relational (Cosmos DB / MongoDB / Redis) — with strong SQL and ORM expertise.
7. Experience with containerisation (Docker) and orchestration (Kubernetes / AKS / EKS) for cloud-native microservices deployment.
8. Hands-on CI/CD experience — Azure DevOps, Jenkins, or GitLab CI — for automated build, test, and deployment pipelines.
9. Strong understanding of event-driven architecture — messaging patterns, eventual consistency, saga orchestration, and distributed system design.
10. Excellent communication and collaboration skills — able to engage effectively with architects, product owners, and cross-functional engineering teams.

Nice to Have

• Hands-on OpenSearch / Elasticsearch experience — index design, full-text search, aggregations, and Spring Boot integration.
• Experience with Azure Managed Kafka (Event Hub for Kafka) or AWS MSK for fully managed Kafka deployment.
• Familiarity with service mesh technologies — Istio or Linkerd — for AKS microservices traffic management and observability.
• Knowledge of CQRS and Event Sourcing patterns using Axon Framework or equivalent.
• Exposure to GraphQL API development alongside REST.
• Experience with Infrastructure-as-Code — Terraform or Azure Bicep — for cloud resource provisioning.
• Azure Developer Associate (AZ-204) or Azure Solutions Architect (AZ-305) certification.
• AWS Certified Developer Associate certification.
• Experience in Financial Services, FinTech, Retail, or other regulated industry environments.

Years of experience: 6 to 8 Years

Location:

Role Summary

The India-based Principal Architect owns technical execution architecture across the offshore delivery organization, translating the program's approved solution architecture (set by the US Principal Architect) into stream-level technical designs, engineering standards, and build-readiness across every functional track. This is an execution and engineering-governance leadership role, not a client-facing architecture-ownership role. Like its US counterpart, this role is technology-agnostic — the final stack is not yet finalized — and operates within an agent-orchestrated development model.

Key Responsibilities

• Own the technical build architecture for each functional stream, converting the approved solution architecture into implementable technical designs for the Solution Architect and engineering pods — independent of the final technology stack selected.
• Enforce engineering-wide standards for coding, design patterns, integration approaches, and CI/CD across all India-based development teams.
• Lead technical design reviews for stream-level solutions before they proceed to build, ensuring consistency with the platform's global data model and security model.
• Direct and prompt AI coding agents (e.g., Claude Code or equivalent) for architecture spikes, technical validation, and build-readiness proofs before handing designs to engineering.
• Own resolution of stream-level technical defects and integration issues identified during SIT/UAT, coordinating fixes across engineering teams.
• Manage technical dependency sequencing across streams so cross-stream build work lands in the right order.
• Mentor and provide technical escalation support to the Solution Architect and Mid-Senior Engineers; act as the final internal review gate before designs are presented to the US Principal Architect.
• Own environment strategy execution (sandbox/environment seeding, data refresh cadence, release branching) in coordination with the India Senior Project Manager's release calendar.
• Track engineering-level technical debt and raise remediation proposals through the architecture chain rather than directly to the client.
• Evaluate and integrate new tools, frameworks, and AI/agentic development capabilities into the engineering workflow.

Required Qualifications

1. 13+ years in enterprise technology roles with 8+ years in an architecture or senior technical leadership capacity.
2. Proven ability to translate approved solution architecture into implementable technical designs across multiple concurrent workstreams, independent of a specific technology stack.
3. Deep, current hands-on fluency in modern software architecture, integration design, and DevOps tooling — technology-agnostic, able to work confidently across CRM platforms or full-stack web stacks depending on final selection.
4. Hands-on experience directing or prompting AI coding agents (e.g., Claude Code or an equivalent agentic development tool) as part of an agent-orchestrated delivery model — required.
5. Experience leading distributed engineering teams (multiple pods/streams) through technical design, build, and defect resolution.
6. Demonstrated experience operating as the internal technical authority reporting into a senior/principal architect rather than directly into the client.

Good to Have

• Enterprise or cloud architecture certification (e.g., TOGAF, or a platform-specific architect certification depending on final stack).
• Experience in pharma, healthcare distribution, or another regulated industry.
• Experience managing technical debt and governance across offshore-led delivery models.

Years of experience: 13 to 18 Years

Location:

Key Responsibilities

🔧 Entuity Deployment & Management

• · Deploy, configure, and manage Entuity Network Analytics at enterprise scale
• · Configure device polling, thresholds, alerts, dashboards, and reports
• · Perform upgrades, health checks, maintenance, and tuning activities

🌐 Network Monitoring & Troubleshooting

• · Monitor routers, switches, firewalls, wireless controllers, and load balancers
• · Monitor via SNMP, ICMP, Syslog, and REST APIs
• · Conduct deep-dive root cause analysis (RCA) for network and performance issues
• · Optimize alerts to reduce noise and increase monitoring accuracy

🔗 Integrations & Automation

• · Integrate Entuity with ITSM tools (ServiceNow, Remedy, etc.)
• · Integrate and monitor SD-WAN controller platforms
• · Design and implement API-based ingestion workflows and automation
• · Support SLA reporting, capacity planning, and NOC operations

🤝 Cross-Functional Collaboration

• · Work closely with Network Engineering, NOC, Infra, and Automation teams
• · Document processes and contribute to continuous improvement initiatives

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Required Skills & Experience

• · 5–10 years of experience in Network Monitoring / Network Operations
• · Strong, hands-on experience with Entuity (mandatory)
• · Strong understanding of networking fundamentals (TCP/IP, SNMP, VLANs, Routing & Switching)
• · Knowledge of routing protocols: BGP, OSPF, EIGRP
• · Experience in multi-vendor environments (Cisco, Juniper, Aruba, Palo Alto, F5)
• · Hands-on experience with REST APIs, JSON, authentication methods
• · Scripting experience—Python preferred
• · Good understanding of Linux/Unix systems
• · Familiarity with ITIL processes

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Good to Have

✨ Experience with cloud or hybrid networking (AWS, Azure, GCP) ✨ Exposure to automation tools like Ansible, Terraform ✨ Experience with other monitoring platforms (SolarWinds, Netcool, Dynatrace, ThousandEyes) ✨ Relevant certifications: ITIL, SD-WAN-Cisco/Meraki, et

Years of experience: 3 to 5 Years

Location:

Key Responsibilities

• Manage and support Entuity network monitoring platforms across enterprise and hybrid environments.
• Monitor network performance, availability, and capacity across multi-vendor infrastructures.
• Configure, maintain, and optimize monitoring tools, dashboards, alerts, and reporting systems.
• Support integration of monitoring platforms with ITSM, automation, and analytics tools.
• Coordinate software upgrades, licensing, cybersecurity compliance, and vendor management activities.
• Lead implementation of AI-driven solutions for network analytics, predictive monitoring, automation, and operational assurance.
• Identify opportunities to leverage AI/ML technologies to improve monitoring accuracy, incident management, and operational efficiency.
• Collaborate with IT, engineering, and digital teams to deploy AI-enabled dashboards and intelligent monitoring solutions.
• Develop AI-assisted reporting, analytics, and compliance monitoring systems.
• Support implementation of Generative AI solutions for technical documentation, troubleshooting guidance, and knowledge management.
• Ensure governance, compliance, and assurance requirements are embedded within monitoring and operational workflows.
• Monitor KPIs related to network availability, performance, risk, compliance, and operational efficiency.
• Ensure secure management of operational and monitoring data.
• Support audits, quality reviews, and continuous improvement initiatives.
• Drive innovation and process optimization initiatives across network monitoring and assurance functions.
• Evaluate emerging AI and monitoring technologies and recommend implementation strategies.
• Implement lessons learned and continuous improvement programs.

Required Skills & Experience

1. 8–15 years of experience in network monitoring, engineering tools management, assurance systems, or technology implementation.
2. Strong experience with Entuity network monitoring platforms in enterprise environments.
3. Strong understanding of networking fundamentals including.

Years of experience: 8 to 10 Years

Location:

About the Role

We are looking for an experienced QA Engineer with strong expertise in testing data platforms. The ideal candidate will have hands-on experience validating data pipelines, backend APIs, data transformations, dashboards, and platform-level workflows — with a strong understanding of Azure Synapse, Data Warehouse, and medallion architecture.

This role involves ensuring data accuracy, integrity, performance, security, and end-to-end quality across the platform.

Key Responsibilities

1. Test Planning & Execution

• Data pipelines and ETL workflows
• Backend APIs
• Frontend portals and reporting interfaces

2. ETL & Data Integrity Validation

• ETL data accuracy and integrity
• Data performance bottlenecks
• Scalability concerns across data workloads
• Work extensively on the Azure Synapse data platform, Data Warehouse layers, and medallion architecture.

3. Workflow & Onboarding Validation

• Validate data ingestion, transformation, and reporting workflows for new client onboarding.
• Ensure smooth end-to-end flow from source ingestion to reporting/analytics.

4. Dashboard & Analytics Testing

• Verify that dashboards, KPIs, and analytics views reflect accurate, consistent, and up-to-date data.
• Collaborate with BI/reporting teams for UI/UX and data validation.

5. Security & Access Control Testing

• Authorization accuracy
• Compliance and data governance requirements
• Role-based access across tools and datasets

6. Test Automation

• Regression testing
• Functional and integration testing
• API and data pipeline verification
• Contribute to continuous testing pipelines within CI/CD environments.

Required Skills & Experience

• Strong experience in data platform testing, ETL validation, and pipeline quality assurance.
• Hands-on with Azure Synapse, Data Warehouse concepts, and medallion architecture.
• Proficiency in SQL for data validation and troubleshooting.
• Experience with API testing tools (Postman, RestAssured, etc.).
• Exposure to dashboard/reporting testing (Power BI, Tableau, etc.).
• Experience with automation frameworks (Selenium, pytest, Robot Framework, or similar).
• Strong analytical, debugging, and documentation skills.

Good to Have

• Experience with Azure DevOps pipelines.
• Familiarity with data security/compliance testing frameworks.
• Understanding of cloud-native data architectures.

Years of experience: 5 to 7 Years

Location:

Role Overview

We are looking for a skilled C++ / .NET Developer with strong object-oriented design expertise and hands-on experience building scalable, reliable API applications on the Azure cloud platform. The ideal candidate combines deep technical proficiency with a passion for the financial domain and a strong commitment to engineering excellence.

Key Skills for This Role

• Strong knowledge of C++, .NET, .NET Core, and C#.
• Solid Object-Oriented design and development skills.
• Hands-on experience with Azure cloud platform.
• High competency in Web Services (SOAP, REST), Multithreading, and design patterns.
• Comfortable with DevOps technologies and Git/Stash.
• Experience in design, development, and maintenance of highly scalable and reliable API applications.
• Passion for technology and the financial domain, with demonstrated ability to learn quickly.
• Experience in reverse engineering and understanding existing applications.
• Comfortable with SQL (Oracle experience preferred) and unit testing.
• Knowledge of Acceptance Test-Driven Development (ATDD).
• Delivery-focused, with the ability to take full ownership.
• Experience working with distributed teams across different time zones.
• Strong commitment to quality, documentation, and engineering excellence.
• Strong communication skills, problem-solving skills, and adaptability.
• Excellent collaboration and interpersonal skills.

Years of experience: 5 to 9 Years

Location:

About the Role
We are looking for a highly accomplished Solution Architect with 10+ years of experience. You will lead the architecture and solutioning of complex, enterprise-grade technology programmes for our clients; spanning Java-based backend systems, modern frontend applications, microservices platforms, and cutting-edge GenAI solutions.

This role demands not just technical depth but exceptional communication and client engagement skills. You will regularly interface with C-suite executives, enterprise architects, and business leaders — translating complex technical concepts into clear, compelling narratives and actionable solution strategies. You will be the face of our technical practice to clients, and your ability to listen, articulate, influence, and inspire confidence will be as critical as your architecture expertise.

Key Responsibilities

• Lead end-to-end enterprise solution architecture — defining architectural vision, patterns, and standards across Java backend, frontend, microservices, and GenAI technology layers.
• Produce comprehensive architecture artefacts — solution designs, architecture decision records (ADRs), high-level and low-level design documents, data flow diagrams, and technical roadmaps.
• Architect and govern microservices-based platforms — defining service decomposition strategies, API contracts, event-driven communication patterns, and service mesh configurations.
• Design and integrate GenAI and LLM-powered capabilities — including RAG pipelines, agentic workflows, and AI-augmented features — into enterprise product architectures responsibly and at scale.
• Provide architectural oversight across frontend implementation — governing micro-frontend strategies, component design systems, and API integration patterns using React.js, Angular, or equivalent.
• Lead enterprise product solutioning — conducting build vs buy analysis, vendor evaluation, technology selection, and total cost of ownership assessments aligned with business objectives.
• Define and enforce non-functional requirements — scalability, resilience, performance, security, and compliance — across all solution designs and technical deliverables.
• Engage and present to senior stakeholders, including C-suite, executive sponsors, and Architecture Review Boards — communicating complex technical concepts with clarity, confidence, and business relevance.
• Collaborate closely with Engineering Leads, Product Managers, Data Architects, DevOps teams, and Business Analysts to ensure architectural intent is understood and faithfully implemented.
• Champion cloud-native architecture principles — designing solutions on AWS and / or Azure using infrastructure-as-code, containerisation, and serverless patterns.
• Establish and evolve architecture governance frameworks, review processes, and technical standards across the engineering organisation.
• Evaluate and adopt emerging technologies — GenAI, AI agents, edge computing, and platform engineering — to continuously advance the organisation's technology capability.
• Mentor and guide senior engineers and technical leads, growing architectural thinking and design capability across the engineering community.
• Support pre-sales, RFP responses, and client-facing solutioning activities where required.

What We're Looking For

1. 10+ years of experience in software engineering and solutions architecture, with a demonstrable track record of leading enterprise-scale product solutioning from concept to delivery.
2. Deep expertise in Java / Spring Boot and designing production-grade, cloud-native microservices architectures at scale.
3. Proven experience architecting and delivering GenAI / LLM-powered solutions — including RAG pipelines, prompt engineering, and responsible AI implementation.
4. Strong architectural knowledge across frontend technologies — React.js, Angular, or equivalent — with the ability to govern frontend architecture and micro-frontend patterns.
5. Solid cloud architecture experience on AWS and / or Azure — designing scalable, secure, and cost-optimised cloud-native solutions.
6. Expertise in system design fundamentals — distributed systems, event-driven architecture, API-first design, Domain-Driven Design, and CQRS / Event Sourcing.
7. Strong experience with enterprise product solutioning — requirements analysis, technology selection, vendor assessment, and architecture roadmap development.
8. Exceptional communication and presentation skills — proven ability to engage, influence, and align C-suite executives, senior stakeholders, and cross-functional delivery teams.
9. Experience contributing to or leading Architecture Review Boards (ARBs) and governance processes across large technology organisations.
10. Strong understanding of security architecture — OAuth2, Zero Trust, IAM — and regulatory compliance frameworks including GDPR.
11. Demonstrated ability to mentor senior engineers and instil architectural thinking and engineering excellence across delivery teams.

Nice to Have

• TOGAF 9 / 10 certification or equivalent enterprise architecture framework knowledge.
• Experience with multi-cloud or hybrid cloud architecture strategies.
• Exposure to platform engineering and internal developer platform (IDP) design.
• Familiarity with graph databases (Neo4j, Neptune) for knowledge graph and Graph RAG use cases.
• Experience with edge AI, model compression, or on-device AI deployment.
• Pre-sales or client-facing solutioning experience in a consulting or product organisation.
• AWS Solutions Architect Professional / Azure Solutions Architect Expert certification.
• Experience delivering architecture in regulated industries — Financial Services, Insurance, Healthcare, or equivalent.
• Knowledge of FinOps principles and cloud cost governance frameworks.

Years of experience: 10 Years

Location:

Role Overview

We are looking for an experienced Solution Designer with a strong background in Mobile Radio Access Networks (RAN) to spearhead the functional design and orchestration of network build and planning operations. In this role, you will bridge the gap between domain-specific RAN operations and automated platform capability, translating complex RAN deployment lifecycle steps—from cell site planning and commissioning to operational handover—into automated workflows.

A key mandate of this role is to design and architect reusable, modular capabilities on our enterprise workflow management platform, while integrating intelligent Machine Learning (ML), AI, and Large Language Models (LLMs) to streamline network engineering workflows.

Key Responsibilities

• RAN Workflow Architecture: Design end-to-end, scalable solution blueprints for mobile Radio Access Network (4G/5G RAN) planning, site rollout, and build workflows on an enterprise Workflow Management System.
• Reusable Capability Development: Identify common operational patterns across network build activities and design modular, reusable workflow building blocks (e.g., automated site readiness checks, vendor dispatch triggers, status synchronization tasks) to accelerate future workflow development.
• NMS & OSS Integration: Define and design robust functional integration patterns connecting the Workflow Management System with Network Management Systems (NMS), Element Management Systems (EMS), and broader OSS components (Inventory, Service Order Management, Performance Management).
• Functional Requirements & Blueprints: Translate complex business rules from RAN network engineering and operations teams into clear functional design documents, API contracts, sequence diagrams, and user stories.
• Cross-Functional Alignment: Collaborate closely with platform development teams, data science engineers, and network operations leads to ensure solution designs match operational requirements and technical architectures.
• Unstructured Data Parsing: Automating the extraction and validation of site survey reports, drive test results, and vendor documentation using LLM/NLP tools.
• Predictive Workflow Routing: Leveraging ML models to forecast build delays, predict cell site capacity bottlenecks, and auto-route exception tasks.

Required Qualifications & Technical Experience

• RAN Expertise: Deep domain knowledge of 4G LTE and 5G RAN architectures, cell site planning, deployment, commissioning, and radio network lifecycle processes.
• NMS & OSS Integration Experience: Direct experience designing or implementing integrations between workflow/orchestration platforms, Network Management Systems (NMS/EMS), and core OSS modules (e.g., inventory management, fault/performance monitoring).
• Solution Design Credentials: 5+ years of experience in a Solution Designer, Systems Architect, or Senior Functional Designer role within Telecom OSS.
• AI / Machine Learning Application: Demonstrated understanding of applying ML/AI concepts to telecom domain problems (e.g., automated decision-making, predictive network planning, anomaly detection).
• Generative AI & LLM Integration: Exposure to integrating Large Language Models (LLMs) and NLP into business applications (e.g., RAG-based search for technical manuals, prompt engineering, automated document processing).
• Education: Bachelor's degree in Telecommunications, Electronics & Communication, Computer Science, or a related engineering field.

Preferred Qualifications

• Workflow Management Platform Experience: Practical experience with low-code/no-code BPM or Workflow Management Systems (e.g., Camunda, Pega, Appian, ServiceNow, or proprietary telco orchestrators).
• Telecom Industry Frameworks: Familiarity with TM Forum Frameworx standards (eTOM, TAM, SID APIs) and Open RAN (O-RAN) deployment standards.
• Data & API Architecture: Familiarity with RESTful APIs, JSON schemas, event-driven architectures (e.g., Kafka), and data analysis tools (Python, SQL).

Years of experience: 8 to 10 Years

Location:

Senior Sitecore Front-End Developer

Location: [Onsite/Remote/Hybrid – specify location] Job Type: [Full-time / Contract / Freelance] Experience: 7+ years in Front-End Development, 3–5+ years with Sitecore Headless/JSS

Job Summary

We are seeking a Senior Sitecore Front-End Developer with expertise in modern JavaScript frameworks and Sitecore headless implementations. The ideal candidate will be responsible for building highly responsive, scalable, and engaging digital experiences using React, Next.js, and Sitecore JSS.

The candidate should have a strong understanding of Sitecore XP 10+ architecture and how content is structured, delivered, rendered, and managed within the Sitecore ecosystem.

Key Responsibilities

• Develop and maintain Sitecore headless and JSS-based applications.
• Build reusable React and Next.js components.
• Consume Sitecore Layout Service and GraphQL APIs.
• Implement responsive, accessible, and high-performance user interfaces.
• Collaborate with back-end developers to integrate Sitecore content and services.
• Customize SXA components and front-end experiences where applicable.
• Ensure compatibility with Sitecore Experience Editor.
• Optimize page speed, SEO, accessibility, and overall user experience.
• Participate in sprint planning, code reviews, and technical discussions.
• Support deployment and CI/CD activities.
• Follow front-end development and Sitecore best practices.

Required Skills & Qualifications

1. 7+ years of front-end development experience.
2. 3–5+ years of Sitecore Headless/JSS experience.
3. React
4. Next.js
5. JavaScript (ES6+)
6. TypeScript
7. HTML5
8. CSS3 / SCSS
9. React
10. Next.js
11. JavaScript (ES6+)
12. TypeScript
13. HTML5
14. CSS3 / SCSS
15. Experience with Sitecore JSS and Headless Services.
16. Strong understanding of Sitecore XP/XM Architecture, Sitecore Content Modelling, Renderings and Layouts, Placeholders, Publishing Process, Experience Editor, and SXA Fundamentals.
17. Experience working with REST APIs and GraphQL.
18. Experience with Git, Azure DevOps, and Agile methodologies.
19. Knowledge of web accessibility standards and performance optimization.
20. Strong collaboration and communication skills.

Nice to Have

• Sitecore Certification.
• Experience with SXA and Headless SXA.
• Experience with Sitecore XM Cloud.
• Experience with Vercel, Azure Static Web Apps, or modern hosting platforms.
• Knowledge of personalization and analytics implementations.
• Experience with component-driven architecture and design systems.

Years of experience: 7 to 12 Years

Location:

Job Summary

We are seeking a highly skilled Senior Murex Workflows / Back Office Developer to join the client team of a leading UK based bank. The ideal candidate will have extensive experience in designing, developing, and optimizing Murex workflows, with a strong focus on Back Office processes such as settlements, confirmations, and regulatory compliance. This role requires deep technical expertise in Murex development and strong collaboration with business analysts and operations teams.

Key Responsibilities

• Design, develop, and maintain Murex workflows for Back Office processes, including settlements, confirmations, and payment instructions.
• Implement and optimize Murex templates, events, and tasks to support trade lifecycle and operational efficiency.
• Collaborate with Business Analysts to translate functional requirements into technical solutions.
• Configure and customize Murex Back Office modules to meet business and regulatory requirements.
• Develop and maintain interfaces and integration points between Murex and external systems (e.g., SWIFT, payment gateways).
• Perform unit testing, SIT, and UAT support, ensuring high-quality deliverables.
• Troubleshoot and resolve technical issues related to workflows and Back Office functionalities.
• Provide technical guidance and mentorship to junior developers.
• Ensure compliance with regulatory changes and implement necessary workflow adjustments.

Required Skills & Experience

1. 8+ years of experience in Murex development, with a strong focus on Workflows and Back Office modules.
2. Expertise in Murex Data Model, Templates, Events, Tasks, and Workflow design.
3. Strong understanding of settlement processes, confirmations, and trade lifecycle across multiple asset classes (FX, derivatives, fixed income).
4. Hands-on experience with regulatory compliance implementations (e.g., EMIR, MiFID, Dodd-Frank).
5. Proficiency in SQL, Unix scripting, and Murex technical architecture.
6. Experience with integration protocols (e.g., MQ, XML, APIs) and messaging standards (SWIFT).
7. Excellent problem-solving and debugging skills.
8. Strong communication and stakeholder management abilities.

Years of experience: 8 to 15 Years

Location:

Responsibilities:

• Review and analyze system specifications.
• Collaborate with QA Engineers to develop effective strategies and test plans.
• Execute test cases (manual or automated) and analyze results.
• Report bugs and errors to development teams.
• Conduct post-release/ post-implementation testing.
• Work with cross-functional teams to ensure quality throughout the software development lifecycle.

Key Requirements:

• Good understanding on salesforce platform (Sales & Service Clouds)
• Understanding on Salesforce objects
• Backend knowledge on salesforce object manager, metadata, dev console
• Salesforce database SOQL knowledge
• API testing (Postman or Workbench)
• Basic understanding on Salesforce workflows, Flows & Process builders
• Time based flows and SF Automation Processes
• Bachelor’s degree in computer science or relevant field.
• Proven work experience in software quality assurance.
• Strong knowledge of software QA methodologies, tools, and processes.
• Hands-on experience with automated testing tools.
• Solid experience with Salesforce QA or relevant technologies.
• Experience working in an Agile/Scrum development process.
• Ability to document and troubleshoot errors effectively.
• Excellent communication skills.

Work Timings: EST Time zone Shift.

Years of experience: 3 to 7 Years

Location:

• About the Role

  We're seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines while leveraging cloud technologies and machine learning to drive business insights.

  Responsibilities

  • Implement new data pipelines and explore/integrate new big data technologies
  • Work closely with the product development team to resolve data-related bugs
  • Ensure data quality and create checkpoints to support quality assurance processes
  • Build and train machine learning models using Python and Azure
  • Develop Python scripts to connect disparate data sources for business analytics
  • Design and implement infrastructure tooling and horizontal frameworks

  Requirements

  • Bachelor's or Master's degree in Computer Science or a related technical field
  • 6+ years of relevant experience with Google Cloud Platform, Spark, and Scala
  • Strong experience in Python, SQL, and RDBMS (SQL Server preferred)
  • Hands-on experience with AWS and Google Cloud services (S3, Redshift, EMR, etc.)
  • Proficiency in scripting languages including Python, Shell, C#, and Java
  • Experience with containerization tools such as Docker and Kubernetes
  • Familiarity with data visualization techniques and tools
  • Ability to write and optimize SQL using tools like TOAD and Oracle SQL Developer

  Preferred Skills

  • Proficiency in Python automation with object-oriented programming experience
  • Exposure to ETL tools such as Informatica, Tableau, and RabbitMQ
  • Strong knowledge of data analysis, data modeling (Kimball methodology), and data governance
  • Hands-on experience with AWS technologies including Redshift, Glue, and EC2
  • Experience with big data tools such as Hadoop, Hive, and Spark
  • Proficiency in message queuing, stream processing, and scalable data store management

Years of experience: 5 to 9 Years

Location:

Senior QA Analyst, AI-Assisted Testing

Mode of wok : Hybrid

Employment Type: Full-time

Key Responsibilities

• Design, develop, and maintain automated test suites, leveraging Claude Code or equivalent AI tools to accelerate test script creation and maintenance
• Lead manual and exploratory testing efforts for complex features, ensuring comprehensive coverage across functional, regression, and edge-case scenarios
• Partner with engineering to integrate AI-assisted testing workflows (Claude Code or equivalent) into CI/CD pipelines for faster, more reliable releases
• Review and triage bugs, working closely with developers to reproduce, document, and validate fixes
• Mentor junior QA analysts on best practices for test automation and AI-assisted QA tooling
• Define and track quality metrics (defect density, test coverage, escape rate) and report on release readiness
• Evaluate and prototype new AI-driven testing tools/approaches to continuously improve QA efficiency
• Stay current with the rapidly evolving generative AI landscape

Required Skills & Experience

• Hands-on experience with Claude Code or an equivalent AI coding assistant (e.g., GitHub Copilot, Cursor) for test generation, debugging, or automation
• Strong proficiency in test automation frameworks (Selenium, Playwright, Cypress, or similar)
• Experience with CI/CD tools (Jenkins, GitHub Actions, CircleCI)
• Solid understanding of SQL, API testing (Postman/REST), and scripting (Python or JavaScript)
• Excellent analytical and communication skills, with ability to work cross-functionally with engineering and product teams
• Familiarity with Agile/Scrum methodologies.

Nice to Have

• Certified Claude Architect – Foundations (CCA-F)
• Experience with Claude Code, Cursor, or other AI-assisted development tools
• Contributions to open-source AI projects

Years of experience: 6 to 9 Years

Location:

Responsibilities:

• Design and implement complex applications using Angular, React, and Node.js.
• Manage network servers and components, ensuring proper installation, configuration, and maintenance.
• Work on headless CMS solutions and ensure seamless integration with presentation layers powered by React and Angular.
• Write clean and well-documented code in JavaScript, HTML5, and CSS3.
• Utilize frameworks and platforms such as AngularJS, Android SDK, iOS SDK, and REST API.
• Develop and deploy applications using clean code practices and following Angular and JavaScript best practices.
• Collaborate with cross-functional teams to design and build web applications and features.
• Stay updated on emerging technologies and frameworks to enhance technical skills.

Requirements:

• Strong expertise in JavaScript, including DOM manipulation, JS object model, HTML5, CSS, and browser architecture.
• Proficiency in Node.js, TypeScript/JavaScript, MySQL, and React.
• Knowledge of frameworks like React, Angular, Vue, and experience with REST APIs and NoSQL technologies.
• Hands-on experience with HTML, JavaScript, and web development frameworks such as AngularJS and Bootstrap.
• Ability to work with various JavaScript libraries and frameworks like React.js, Angular, and Redux.
• Familiarity with testing frameworks like Jasmine, Jest, and experience with writing automated unit tests.
• Understanding of advanced JS libraries and frameworks for front-end development.
• Strong problem-solving skills and the ability to work on multiple projects simultaneously.
• Excellent communication skills and the ability to work in a collaborative team environment.
• Bachelor's degree in Computer Science or related field is preferred.
• Minimum of 10 years of experience in Fullstack development with a focus on Angular, React, and Node.js.

Years of experience: 10 to 15 Years

Location:

Adobe Customer Journey Optimizer (CJO/AJO) Architect Responsibilities

Solution Architecture

• Design end-to-end customer journey solutions using Adobe Customer Journey Optimizer (AJO/CJO).
• Define scalable architecture for real-time, omnichannel customer engagement.
• Translate business requirements into technical solution designs and architecture.

Journey Design & Orchestration

• Design and implement customer journeys across email, SMS, push notifications, web, and in-app channels.
• Build event-triggered, rule-based, and personalized customer journeys.
• Optimize journey flows to improve customer engagement and conversion.

Adobe Experience Platform (AEP) Integration

• Integrate Customer Journey Optimizer with Adobe Experience Platform (AEP).
• Configure Real-Time Customer Profiles, Identity Service, and audience segmentation.
• Design data ingestion and event streaming pipelines to support journey orchestration.

Personalization & Decisioning

• Implement personalized experiences using customer profiles, behavioral data, and business rules.
• Configure decision management and offer strategies for targeted customer interactions.
• Ensure consistent personalization across multiple channels.

Integration & APIs

• Integrate CJO with CRM, marketing automation platforms, CMS, analytics tools, and third-party applications.
• Design and implement REST API and event-driven integrations.
• Ensure seamless data flow between enterprise systems.

Technical Leadership

• Provide architectural guidance and best practices for Customer Journey Optimizer implementations.
• Review solution designs, mentor development teams, and ensure adherence to Adobe implementation standards.
• Support troubleshooting and performance optimization.

Governance & Compliance

• Define data governance, consent management, and privacy policies.
• Ensure compliance with regulations such as GDPR, CCPA, and enterprise security standards.
• Establish monitoring, auditing, and operational governance processes.

Performance & Optimization

• Optimize journey execution, event processing, and customer segmentation.
• Monitor platform performance and recommend improvements for scalability and reliability.
• Analyze journey metrics and recommend enhancements to improve customer outcomes.

Stakeholder Collaboration

• Work with marketing, business, product, and technical teams to define customer engagement strategies.
• Lead architecture workshops and present solution recommendations to stakeholders.
• Support pre-sales activities, effort estimation, and solution demonstrations when required.

Required Skills

• Adobe Customer Journey Optimizer (AJO/CJO)
• Adobe Experience Platform (AEP)
• Real-Time Customer Data Platform (RT-CDP)
• XDM Schema Design
• Identity Service & Profile Service
• Journey Orchestration
• Offer Decisioning
• Audience Segmentation
• Adobe Analytics
• Adobe Target
• REST APIs and Event Streaming
• SQL, JavaScript, or Python
• Cloud Platforms (AWS, Azure, or GCP)

Typical Experience

• 8–15+ years of overall IT experience.
• 3–5+ years of hands-on experience with Adobe Customer Journey Optimizer (AJO/CJO) and Adobe Experience Platform (AEP).
• Experience designing enterprise-scale omnichannel customer engagement and personalization solutions.

Years of experience:

Location:

About the Role

We are looking for a talented and passionate AI Generative Full Stack Developer to join our growing engineering team. You will be responsible for designing, building, and deploying intelligent AI-powered applications — combining cutting-edge generative AI capabilities with robust full stack development using Python and React.

You will work at the intersection of AI research and product engineering, turning LLM capabilities into real-world, production-ready features.

Key Responsibilities

• Design and develop AI-powered full stack applications using Python (backend) and React (frontend)
• Build and maintain agentic frameworks and LLM pipelines using tools like LangChain, LlamaIndex, or custom implementations
• Integrate generative AI APIs (OpenAI, Anthropic Claude, Gemini, etc.) into scalable web applications
• Develop RESTful and GraphQL APIs to connect AI backends with React frontends
• Implement RAG (Retrieval-Augmented Generation) systems using vector databases (Pinecone, Weaviate, ChromaDB)
• Build and optimize prompt engineering workflows and evaluation pipelines
• Collaborate with product, design, and data science teams to ship AI features end-to-end
• Write clean, testable, and well-documented code
• Monitor, debug, and optimize AI model performance in production
• Stay current with the rapidly evolving generative AI landscape

Required Skills & Experience

AI & Agentic Engineering

• Claude API & Anthropic SDK proficiency — hands-on experience with the Messages API, tool use / function calling, system prompt design, and model selection tradeoffs (Sonnet vs. Opus vs. Haiku); familiarity with context window management and token budgeting
• Agentic loop architecture — ability to design reliable multi-step agent loops: tool orchestration, retry logic, error recovery, and knowing when to stop or escalate rather than loop indefinitely
• Tool/MCP integration — experience building and connecting tools (internal APIs, databases, external services) via Anthropic's tool use schema or MCP servers, including input validation and graceful failure handling
• Prompt engineering & evaluation — skilled at structured prompting (system prompts, few-shot examples, XML tagging), and building prompt eval harnesses to measure output quality, regression-test changes, and tune instructions systematically
• Observability & auditability — knows how to log full agent traces (inputs, tool calls, intermediate outputs, final responses) in a structured, queryable format; experience with tools like LangSmith, Braintrust, Helicone, or custom tracing pipelines
• Measurement & KPI design — can define and instrument meaningful agent metrics: task completion rate, tool call accuracy, hallucination rate, latency per step, cost per run, and human-in-the-loop escalation rate; connects agent telemetry to business outcomes
• Human-in-the-loop & guardrails — understands when to inject human review checkpoints, how to design approval gates for high-stakes actions, and how to implement input/output guardrails (content filtering, schema validation, confidence thresholds)
• Cost & latency optimization — experience profiling and reducing inference costs through prompt caching, batching, streaming, and appropriate model tiering, without sacrificing reliability
• Security & data handling — awareness of prompt injection risks, credential/secret hygiene in agentic contexts, PII handling, and least-privilege design when agents have access to real systems or external APIs
• Software engineering fundamentals — strong async Python (or TypeScript), testing discipline (unit + integration tests for agent components), CI/CD, and the ability to decompose complex agent systems into maintainable, modular code

AI / LLM

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Cohere, or similar)
• Experience building agentic systems (tool use, memory, multi-step reasoning)
• Familiarity with prompt engineering techniques (chain-of-thought, few-shot, RAG)
• Understanding of fine-tuning and model evaluation concepts

Backend (Python)

• Strong proficiency in Python 3.x
• Experience with FastAPI or Django / Flask
• Working knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis)
• Familiarity with async programming and background task queues (Celery, RQ)
• Experience with Docker and deploying to cloud platforms (AWS, GCP, or Azure)

Frontend (React)

• Strong proficiency in React.js and modern JavaScript (ES6+)
• Experience with TypeScript
• Familiarity with state management (Redux, Zustand, or Context API)
• Ability to build streaming UI for LLM outputs (token-by-token rendering)
• Basic understanding of UX principles for AI interfaces

General

• Experience with Git and collaborative development workflows
• Comfort working in fast-paced, ambiguous environments
• Strong problem-solving and communication skills

Nice to Have

• Certified Claude Architect – Foundations (CCA-F)
• Experience with Claude Code, Cursor, or other AI-assisted development tools
• Contributions to open-source AI projects
• Experience with multi-agent frameworks (AutoGen, CrewAI, LangGraph)
• Knowledge of MLOps practices and model deployment (MLflow, Weights & Biases)
• Familiarity with WebSockets for real-time AI streaming
• Experience with Kubernetes or serverless architectures

Years of experience: 4 to 6 Years

Location:

Location: India (Hybrid – Bangalore/Chennai preferred)

About the Role

We are seeking a Senior Frontend Engineer to lead the development of high-quality, user-centric web applications. As part of our engineering team, you will help build intuitive and performant interfaces, collaborating closely with designers and backend engineers. You'll work on complex SaaS products that deliver critical solutions in the education industry, transforming how we impact communities through technology. This role provides an opportunity to shape the user experience from the ground up, ensuring our product is both impactful and accessible.

Key Responsibilities

Frontend Development Leadership

• Lead the design and development of responsive, scalable, and maintainable UI components
• Convert production mockups into polished HTML5, CSS3, and JavaScript web applications, ensuring high performance and cross-browser compatibility
• Implement design systems and UI patterns that are consistent across products and platforms
• Optimize front-end performance, identifying bottlenecks and ensuring smooth, responsive interactions

Collaboration & Communication

• Work closely with product managers, UX/UI designers, and backend engineers to bring features to life
• Champion front-end standards and mentor junior engineers, ensuring code quality, accessibility, and usability
• Contribute to sprint planning, estimation, and progress reporting in an Agile environment

Quality Assurance

• Perform end-to-end testing and code reviews to ensure high-quality solutions are delivered consistently
• Advocate for automated testing practices and tools to maintain the stability of the front-end stack

Best Practices & Innovation

• Keep up to date with modern web technologies and front-end trends, bringing innovative ideas to the team
• Follow sustainable development methodologies and encourage best practices across the engineering team
• Contribute to architecture decisions around frontend frameworks and tooling

Basic Qualifications

1. 7+ years of professional front-end development experience, including HTML5, CSS3, and JavaScript
2. Proficiency in React, Angular, or similar modern front-end frameworks
3. Experience working with modern web development environments (e.g., NPM, Gulp, Webpack, Docker)
4. Strong expertise in responsive design principles and mobile-first development (e.g., Bootstrap, Foundation)
5. Experience with SPA and MPA architectures and integrating with backend APIs (e.g., RESTful or GraphQL)
6. Familiarity with accessibility standards and WCAG guidelines

Preferred Qualifications

• Demonstrated expertise in building rich, interactive, and performance-optimized UI
• Strong background in object-oriented JavaScript, client-side architecture, and object-oriented CSS
• Ability to manage multiple projects and priorities in a fast-paced Agile environment
• Experience in education, healthcare, or business intelligence industries
• Commitment to diversity, equity, and inclusion in the workplace

Years of experience: 7 to 11 Years

Location:

Job Summary

We are looking for a skilled Salesforce Commerce Cloud (SFCC) Back-End Developer with 5+ years of experience in eCommerce application development. The ideal candidate should have strong expertise in Salesforce Commerce Cloud (SFCC) and Storefront Reference Architecture (SFRA), with experience developing scalable backend solutions, integrations, and commerce business logic.

Key Responsibilities

• Develop and maintain backend functionality using SFRA architecture.
• Build and customize controllers, models, scripts, hooks, and scheduled jobs.
• Develop reusable cartridges and backend components.
• Integrate SFCC with payment gateways, OMS, ERP, PIM, CMS, tax, shipping, and other third-party systems.
• Develop and consume REST APIs using SFCC Service Framework, OCAPI, and SCAPI.
• Configure and manage Business Manager settings and site preferences.
• Customize promotions, pricing, inventory, search, and order management functionality.
• Optimize application performance and troubleshoot production issues.
• Collaborate with front-end developers to deliver complete end-to-end commerce solutions.
• Participate in sprint planning, code reviews, and technical design discussions.
• Follow SFCC development standards and best practices.

Required Skills

1. 5+ years of software development experience.
2. Minimum 2 years of hands-on experience with Salesforce Commerce Cloud (SFCC).
3. Strong understanding of SFRA architecture.
4. Strong proficiency in Server-Side JavaScript.
5. Experience developing custom cartridges, controllers, models, scripts, hooks, and jobs.
6. Experience with SFCC Service Framework.
7. Experience integrating REST/SOAP APIs.
8. Working knowledge of OCAPI and SCAPI.
9. Experience with Business Manager configuration.
10. Experience using Git or other version control systems.
11. Strong problem-solving and debugging skills.
12. Familiarity with Agile/Scrum development methodologies.

Preferred Skills

• Experience integrating payment providers such as PayPal, Braintree, Adyen, Stripe, or similar platforms.
• Experience with OMS, ERP, PIM, and CMS integrations.
• Knowledge of SFCC Search, Page Designer, and Einstein.
• Experience with monitoring and logging tools such as New Relic or Datadog.
• Salesforce Commerce Cloud certification is a plus.

Added Advantage

Experience with SFCC front-end development, including ISML, HTML5, CSS3, JavaScript, responsive web development, and storefront customization, will be considered an added advantage.

Years of experience: 5 to 9 Years

Location:

DevOps Architect — India

Location: India (Hybrid/Remote, overlap hours with US-based Architect(s) and Delivery Lead)

Experience: 10+ years overall, 6+ years in DevOps/infrastructure architecture

Role Summary

The DevOps Architect owns CI/CD, environment, release, and infrastructure architecture across the account's delivery pods, ensuring every workstream can build, test, and ship reliably regardless of which technology stack is ultimately selected. This role designs the automation and quality gates that both human engineers and AI coding agents build against, and is accountable for the pipeline and infrastructure practices that keep an agent-orchestrated development model safe and predictable in production.

Key Responsibilities

• Own CI/CD pipeline architecture, branching strategy, and release automation across all workstreams, repeatable per delivery pod.

• Own environment strategy: provisioning, configuration management, and refresh cadence for development, test, and staging environments across workstreams.

• Design automated quality gates (build, test, static analysis, security scanning) that apply consistently to both human-written and AI-agent-generated code before it merges or deploys.

• Own infrastructure architecture, including cloud resource design, monitoring, logging, alerting, and reliability/SRE practices.

• Partner with the Principal Architect(s) to ensure DevOps and infrastructure decisions align with the overall solution architecture, once the technology stack is confirmed.

• Own release management practices — versioning, rollback procedures, deployment windows — sized to support the delivery cadence of an agent-orchestrated build workflow.

• Direct and prompt AI coding agents (e.g., Claude Code or equivalent) for infrastructure-as-code, pipeline configuration, and automation scripting, then review and harden the output.

• Own incident response and root-cause analysis processes for production issues, driving remediation and preventive fixes.

• Own security and compliance practices for infrastructure — secrets management, access controls, and audit logging — in coordination with the client's security team.

• Evaluate and integrate new CI/CD, infrastructure, and AI/agentic tooling into the delivery model.

• Set and enforce DevOps standards and mentor DevOps engineers embedded within each workstream's delivery pod.

Required Qualifications

• 10+ years in enterprise technology roles with 6+ years specifically in DevOps or infrastructure architecture.

• Deep expertise in CI/CD tooling (e.g., GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar) and Infrastructure as Code (e.g., Terraform, CloudFormation, or similar).

• Strong background in cloud platform architecture (AWS, Azure, or GCP) and monitoring/observability tooling.

• Experience designing environment and branching strategies for multi-workstream delivery programs.

• Technology-agnostic release management experience — comfortable integrating CI/CD with either platform-specific deployment tooling (e.g., Salesforce release tools such as Copado/Gearset) or standard web-application deployment pipelines, depending on final stack selection.

• Hands-on experience directing or prompting AI coding agents (e.g., Claude Code or an equivalent agentic development tool) — required, as this engagement uses an agent-orchestrated development model.

• Security-conscious approach to infrastructure design: secrets management, access control, and compliance awareness.

Preferred Qualifications

• Relevant certifications (e.g., AWS/Azure/GCP DevOps Engineer or Solutions Architect, Terraform Associate).

• Experience setting up quality gates or guardrails specifically for AI-agent-generated code.

• Site Reliability Engineering (SRE) background.

Years of experience: 10 to 15 Years

Location:

Job Summary

We are seeking a skilled Angular Developer to design, develop, and maintain responsive web applications using Angular frameworks. The ideal candidate should have strong experience in front-end development, TypeScript, JavaScript, HTML, CSS, and RESTful APIs. The role involves collaborating with cross-functional teams to build scalable, high-performance applications and enhance user experience.

Key Responsibilities

• Develop and maintain web applications using Angular (Angular 12+ preferred).
• Create reusable, efficient, and scalable front-end components.
• Collaborate with UI/UX designers to implement responsive and user-friendly interfaces.
• Integrate front-end applications with RESTful APIs and backend services.
• Write clean, maintainable, and well-documented code.
• Optimize application performance, speed, and scalability.
• Conduct unit testing, debugging, and troubleshooting.
• Participate in code reviews and follow development best practices.
• Work closely with product owners, business analysts, and backend developers to deliver project requirements.
• Stay updated with emerging technologies and Angular ecosystem advancements.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 2+ years (or as required) of experience in Angular development.
• Angular Framework
• TypeScript
• JavaScript (ES6+)
• HTML5, CSS3, SCSS
• RxJS and Reactive Programming
• Experience with REST APIs and JSON.
• Knowledge of state management libraries (NgRx, Redux, etc.).
• Familiarity with Git version control.
• Understanding of responsive web design principles.
• Experience with Agile/Scrum development methodologies.

Preferred Qualifications

• Experience with Angular Material, Bootstrap, or other UI frameworks.
• Knowledge of Node.js and npm ecosystem.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Understanding of CI/CD pipelines and DevOps practices.
• Experience with unit testing frameworks like Jasmine and Karma.

Technical Skills

• Angular 12+/14+/16+
• TypeScript
• JavaScript
• HTML5, CSS3, SCSS
• RxJS
• Angular Material
• RESTful APIs
• Git/GitHub/Azure DevOps
• Jasmine/Karma
• Bootstrap

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and manage priorities effectively.
• Attention to detail and commitment to quality.
• Adaptability and willingness to learn new technologies.

Must Have:

• 3+ years of Angular development experience.
• Strong TypeScript and RxJS knowledge.
• Experience with REST API integration.
• Angular Material and responsive UI development.
• Git and Agile methodology experience.

Good to Have:

• Azure DevOps experience.
• NgRx state management.
• Node.js exposure.

Years of experience: 5 to 7 Years

Location:

Principal Architect

Location: India (Hybrid, overlap hours with US delivery leadership)

Experience: 13+ years overall, 8+ years in architecture/technical leadership roles

Role Summary

The India-based Principal Architect owns technical execution architecture across the offshore delivery organization, translating the program's approved solution architecture (set by the US Principal Architect) into stream-level technical designs, engineering standards, and build-readiness across every functional track. This is an execution and engineering-governance leadership role, not a client-facing architecture-ownership role.

Key Responsibilities

•Own the technical build architecture for each functional stream, converting the approved solution architecture into implementable technical designs for the Solution Architect and engineering pods — independent of the final technology stack selected.

•Enforce engineering-wide standards for coding, design patterns, integration approaches, and CI/CD across all India-based development teams.

•Lead technical design reviews for stream-level solutions before they proceed to build, ensuring consistency with the platform's global data model and security model.

•Direct and prompt AI coding agents (e.g., Claude Code or equivalent) for architecture spikes, technical validation, and build-readiness proofs before handing designs to engineering.

•Own resolution of stream-level technical defects and integration issues identified during SIT/UAT, coordinating fixes across engineering teams.

•Manage technical dependency sequencing across streams so cross-stream build work lands in the right order.

•Mentor and provide technical escalation support to the Solution Architect and Mid-Senior Engineers; act as the final internal review gate before designs are presented to the US Principal Architect.

•Own environment strategy execution (sandbox/environment seeding, data refresh cadence, release branching) in coordination with the India Senior Project Manager's release calendar.

•Track engineering-level technical debt and raise remediation proposals through the architecture chain rather than directly to the client.

•Evaluate and integrate new tools, frameworks, and AI/agentic development capabilities into the engineering workflow.

Required Qualifications

•13+ years in enterprise technology roles with 8+ years in an architecture or senior technical leadership capacity.

•Proven ability to translate approved solution architecture into implementable technical designs across multiple concurrent workstreams, independent of a specific technology stack.

•Deep, current hands-on fluency in modern software architecture, integration design, and DevOps tooling — technology-agnostic, able to work confidently across CRM platforms or full-stack web stacks depending on final selection.

•Hands-on experience directing or prompting AI coding agents (e.g., Claude Code or an equivalent agentic development tool) as part of an agent-orchestrated delivery model — required.

•Experience leading distributed engineering teams (multiple pods/streams) through technical design, build, and defect resolution.

•Demonstrated experience operating as the internal technical authority reporting into a senior/principal architect rather than directly into the client.

Good To Have

•Enterprise or cloud architecture certification (e.g., TOGAF, or a platform-specific architect certification depending on final stack).

•Experience in pharma, healthcare distribution, or another regulated industry. Experience managing technical debt and governance across offshore-led delivery models.

Years of experience: 13 to 18 Years

Location:

Role Purpose: Lead complex Hybris development tasks, act as a technical mentor, and ensure stability and scalability of Discount Tire’s eCommerce platforms and Product Browse application.

Key Responsibilities:

• Own RCA and resolution for critical incidents and complex order-flow issues.
• Design and implement hotfixes and enhancements (up to 100 hours/month).
• Review code, enforce best practices, and guide junior developers.
• Collaborate with SDM for governance and KPI reporting.
• Ensure compliance with PCI, ADA, and security standards.
• Participate in release planning and CAB meetings.
• Cross-train team members on Hybris, Java, and GraphQL integrations.

Required Skills:

• 8+ years in SAP Commerce (Hybris) development; 2+ years in technical leadership.
• Expertise in SAP hybris modules such as payment integrations, order management, cart and checkout, promotion engine.
• Strong Java/J2EE, Spring MVC, OCC APIs, and SAP ECC/S4 integration experience.
• Expertise in performance tuning and troubleshooting complex Hybris issues.
• Familiarity with CI/CD pipelines, Git, and automated testing frameworks.
• GraphQL knowledge for API-driven integrations.
• Open to work US business hours + On-call for P1s (Arizona time zone)

Location Model:

Offshore with overlap for US hours.

KPIs:

• Defect resolution SLA compliance
• Code quality metrics
• Knowledge base contributions

Years of experience: 8 to 11 Years

Location:

DevOps Engineer – Google Cloud Platform (GCP)

Job Summary

We are seeking a DevOps Engineer – GCP to join our Cloud Infrastructure Engineering team. The ideal candidate will have hands-on experience building, automating, and supporting cloud infrastructure on Google Cloud Platform (GCP).

In this role, you will provision and manage cloud infrastructure, implement Infrastructure as Code (IaC), containerize applications, automate deployment pipelines, and monitor cloud environments to ensure high availability, security, and operational efficiency. You will collaborate closely with application development teams, platform engineers, and security teams to enable reliable and scalable cloud-native solutions.

Key Responsibilities

•Provision, configure, and manage cloud infrastructure on Google Cloud Platform (GCP)

•Deploy and manage containerized workloads using Google Kubernetes Engine (GKE)

•Build and maintain Infrastructure as Code (IaC) using Terraform

•Develop, maintain, and optimize CI/CD pipelines for automated application deployment

•Build and manage Docker container images for cloud-native applications

•Monitor cloud infrastructure and applications using GCP monitoring and logging services

•Implement cloud security best practices, including IAM, networking, and secrets management

•Support application deployment, release management, and production operations

•Troubleshoot infrastructure, deployment, Kubernetes, and networking issues

•Optimize cloud resource utilization and contribute to cost management initiatives

•Collaborate with development teams to improve deployment automation and operational processes

•Prepare infrastructure documentation, deployment guides, and operational runbooks

•Participate in production support and incident resolution activities as required

Required Technical Skills

Cloud Platform

•Google Cloud Platform (GCP)

•Google Kubernetes Engine (GKE)

•Compute Engine

•Cloud Storage

•Cloud SQL

•Virtual Private Cloud (VPC)

•Identity and Access Management (IAM)

•Cloud Operations Suite (Monitoring & Logging)

Containerization & Orchestration

•Docker

•Kubernetes

•Helm (preferred)

Infrastructure as Code

•Terraform

•Infrastructure Automation

•Terraform Modules

CI/CD

•GitHub Actions

•GitLab CI/CD

•Jenkins

•Google Cloud Build

Monitoring & Observability

•Google Cloud Monitoring

•Google Cloud Logging

•Prometheus (preferred)

•Grafana (preferred)

Scripting

•Bash

•Python (preferred)

•Shell Scripting

Version Control

•Git

•GitHub

•GitLab

Required Qualifications

•Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline

•4–7 years of experience in DevOps, Cloud Infrastructure, or Platform Engineering

•Hands-on experience working with Google Cloud Platform (GCP)

•Experience deploying and managing applications using Docker and Kubernetes (GKE)

•Strong experience with Terraform for infrastructure provisioning and automation

•Experience designing and maintaining CI/CD pipelines

•Familiarity with Linux system administration and networking fundamentals

•Experience working in Agile and DevOps environments

•Strong analytical, troubleshooting, and problem-solving skills

•Excellent communication and collaboration abilities

Preferred Qualifications

•Google Associate Cloud Engineer or Professional Cloud DevOps Engineer certification

•Experience with GitOps tools such as Argo CD

•Knowledge of cloud security and DevSecOps practices

•Experience with cloud cost optimization and infrastructure governance

•Exposure to service mesh technologies (Istio) is an advantage

Key Competencies

•Strong understanding of cloud infrastructure and DevOps principles

•Passion for automation and continuous improvement

•Ability to build reliable, secure, and scalable cloud environments

•Strong ownership and accountability

•Effective collaboration across infrastructure, development, and security teams

•Excellent verbal and written communication skills

Nice to Have

• Helm · Argo CD · Istio · Cloud Armor · Secret Manager · Redis · SonarQube · Trivy · Snyk · Jira · Confluence · FinOps knowledge

Years of experience: 4 to 7 Years

Location:

About the Role

We are looking for a Senior Real-time Data Engineer to lead the architecture and development of our customer-facing analytics engine. Our Sales Engagement Platform processes millions of events daily—from email interactions to live call metadata. Your mission is to transform this firehose of raw data into high-performance, actionable insights for our users.
You will bridge the gap between backend data systems and the user interface, building a robust Semantic Layer that ensures our customers see the same "Single Source of Truth" across every dashboard, report, and API.

Key Responsibilities:

• Architecture & Scaling: Design and maintain a low-latency analytics stack capable of handling high-concurrency queries from thousands of concurrent SaaS users.
• Real-time Ingestion:Build and optimize ingestion pipelines that move data from transactional databases (PostgreSQL) and event streams (Kafka/Kinesis) into Apache Pinot.
• Semantic Layer Development:UseCube (Cube.js)to model complex sales metrics (e.g., "Sequence Conversion Rate," "Attributed Revenue," "Meeting Booked Rate") ensuring consistency across the application.
• Performance Engineering:OptimizeApache Pinottables, indexing strategies, andCubepre-aggregations to ensure dashboard widgets load in under 300ms.
• API Strategy:Expose data models via REST/GraphQL APIs, collaborating closely with Frontend Engineers to build world-class data visualizations.
• Data Governance:Implement multi-tenant security logic within the semantic layer to ensure strict data isolation between different customer accounts.

Technical Requirements

• OLAP Expertise:3+ years of experience withApache Pinot(or similar technologies like ClickHouse/StarRocks) in a production environment.
• Semantic Modeling:Deep experience withCube (Cube.js), including advanced features like pre-aggregations, security contexts, and multi-tenant configurations.
• Data Store Mastery:Expert-level knowledge ofPostgreSQL, specifically in the context of analytical query optimization and Change Data Capture (CDC).
• Streaming & Ingestion:Hands-on experience with real-time data movement (Debezium, Kafka, or Flink).
• Software Craftsmanship:Proficiency in Node.js or Python, with a focus on building scalable backend services.
• Language:Mastery of complex SQL and the ability to translate business logic into code-based data schemas.

Bonus Points If You Have

• Experience building analytics specifically for CRM or Sales Tech ecosystems.
• Contributions to open-source projects (specifically in the Pinot or Cube communities).
• Experience with Infrastructure as Code (Terraform, Kubernetes) for managing data clusters.

Years of experience: 7 to 12 Years

Location:

JOB Decsription

•Owns the Workato environment across configuration, integrations, and AI workflow builds

•Builds AI packages natively using Workato AI Genie, going beyond pre-built assets

•Designs and ships agent-ready workflows within the Workato platform

•Integrates Workato with 6Sense's other enterprise applications

Required background

•5+ years of Workato experience, with genuine depth in the platform

•Hands-on Workato AI Genie expertise: building AI-native packages within the platform

•Track record of implementing AI-enabled workflow automation in enterprise environments

•Experience with Workato's enterprise features: role-based access, audit, multi-workspace

•Familiarity with adjacent integration platforms (Boomi, MuleSoft, etc.) is a plus

Years of experience: 5 to 8 Years

Location:

We are looking for an Application Specialist to own and support critical production applications. This is more than a traditional L3 Support role, involving application ownership, troubleshooting complex production issues, automation, and continuous improvement initiatives.

• Manage and support business-critical applications in a production environment.
• Investigate and resolve production incidents, perform RCA, and implement permanent fixes.
• Drive automation and process improvements to enhance operational efficiency.
• Monitor application health, performance, and stability.
• Collaborate with development, infrastructure, and business teams on releases and firm-wide projects.
• Participate in on-call support and incident management.
• Java: Strong understanding of Core Java, OOP concepts, Collections, Exception Handling, and basic coding skills.
• SQL: Hands-on experience with Joins, Aggregate Functions, Subqueries, Group By, and Indexing basics.
• Linux: Knowledge of commands such as grep, find, ps, chmod, tail, and basic shell scripting.
• Experience in Production/Application Support, Incident Management, and Root Cause Analysis (RCA).
• Monitoring tools such as Splunk, Dynatrace, AppDynamics, Grafana, or ELK.
• Automation using Shell/Python/Java.
• Exposure to Microservices, REST APIs, and Cloud platforms (AWS/Azure).
• Strong analytical and troubleshooting skills.
• Ownership mindset with a focus on operational excellence.
• Passion for automation and continuous improvement.
• Excellent communication and stakeholder management abilities.
• Java coding is mandate

Years of experience: 4 to 10 Years

Location:

AI Generative Full Stack Developer

Mode of Work : Hybrid

Employment Type: Full-time

About the Role

We are looking for a talented and passionate AI Generative Full Stack Developer to join our growing engineering team. You will be responsible for designing, building, and deploying intelligent AI-powered applications — combining cutting-edge generative AI capabilities with robust full stack development using Python and React.

You will work at the intersection of AI research and product engineering, turning LLM capabilities into real-world, production-ready features.

Key Responsibilities

• Design and develop AI-powered full stack applications using Python (backend) and React (frontend)
• Build and maintain agentic frameworks and LLM pipelines using tools like LangChain, LlamaIndex, or custom implementations
• Integrate generative AI APIs (OpenAI, Anthropic Claude, Gemini, etc.) into scalable web applications
• Develop RESTful and GraphQL APIs to connect AI backends with React frontends
• Implement RAG (Retrieval-Augmented Generation) systems using vector databases (Pinecone, Weaviate, ChromaDB)
• Build and optimize prompt engineering workflows and evaluation pipelines
• Collaborate with product, design, and data science teams to ship AI features end-to-end
• Write clean, testable, and well-documented code
• Monitor, debug, and optimize AI model performance in production
• Stay current with the rapidly evolving generative AI landscape

Required Skills & Experience

• Claude API & Anthropic SDK proficiency — Hands-on experience with the Messages API, tool use / function calling, system prompt design, and model selection tradeoffs (Sonnet vs. Opus vs. Haiku). Familiarity with context window management and token budgeting.
• Agentic loop architecture — Ability to design reliable multi-step agent loops: tool orchestration, retry logic, error recovery, and knowing when to stop or escalate rather than loop indefinitely.
• Tool/MCP integration — Experience building and connecting tools (internal APIs, databases, external services) via Anthropic's tool use schema or MCP servers, including input validation and graceful failure handling.
• Prompt engineering & evaluation — Skilled at structured prompting (system prompts, few-shot examples, XML tagging), and building prompt eval harnesses to measure output quality, regression-test changes, and tune instructions systematically.
• Observability & auditability — Knows how to log full agent traces (inputs, tool calls, intermediate outputs, final responses) in a structured, queryable format. Experience with tools like LangSmith, Braintrust, Helicone, or custom tracing pipelines.
• Measurement & KPI design — Can define and instrument meaningful agent metrics: task completion rate, tool call accuracy, hallucination rate, latency per step, cost per run, and human-in-the-loop escalation rate. Connects agent telemetry to business outcomes.
• Human-in-the-loop & guardrails — Understands when to inject human review checkpoints, how to design approval gates for high-stakes actions, and how to implement input/output guardrails (content filtering, schema validation, confidence thresholds).
• Cost & latency optimization — Experience profiling and reducing inference costs through prompt caching, batching, streaming, and appropriate model tiering — without sacrificing reliability.
• Security & data handling — Awareness of prompt injection risks, credential/secret hygiene in agentic contexts, PII handling, and least-privilege design when agents have access to real systems or external APIs.
• Software engineering fundamentals — Strong async Python (or TypeScript), testing discipline (unit + integration tests for agent components), CI/CD, and the ability to decompose complex agent systems into maintainable, modular code.

AI / LLM

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Cohere, or similar)
• Experience building agentic systems (tool use, memory, multi-step reasoning)
• Familiarity with prompt engineering techniques (chain-of-thought, few-shot, RAG)
• Understanding of fine-tuning and model evaluation concepts

Backend (Python)

• Strong proficiency in Python 3.x
• Experience with FastAPI or Django / Flask
• Working knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis)
• Familiarity with async programming and background task queues (Celery, RQ)
• Experience with Docker and deploying to cloud platforms (AWS, GCP, or Azure)

Frontend (React)

• Strong proficiency in React.js and modern JavaScript (ES6+)
• Experience with TypeScript
• Familiarity with state management (Redux, Zustand, or Context API)
• Ability to build streaming UI for LLM outputs (token-by-token rendering)
• Basic understanding of UX principles for AI interfaces

General

• Experience with Git and collaborative development workflows
• Comfort working in fast-paced, ambiguous environments
• Strong problem-solving and communication skills

Nice to Have

• Certified Claude Architect – Foundations (CCA-F)
• Experience with Claude Code, Cursor, or other AI-assisted development tools
• Contributions to open-source AI projects
• Experience with multi-agent frameworks (AutoGen, CrewAI, LangGraph)
• Knowledge of MLOps practices and model deployment (MLflow, Weights & Biases)
• Familiarity with WebSockets for real-time AI streaming
• Experience with Kubernetes or serverless architectures

Years of experience: 5 to 9 Years

Location:

• The ideal candidate should have experience with platforms such as Braze, Iterable, or similar marketing automation tools.
• Strong organizational and project management skills are a must for this role.
• Ability to collaborate with cross-functional teams and communicate effectively is vital.
• Experience with data analysis and translating insights into actionable strategies is highly valued.

Responsibilities:

• Collaborate with clients to understand their business goals and provide strategic guidance on utilizing marketing platforms effectively.
• Implement and configure marketing automation tools based on clients' requirements and objectives.
• Analyze data and campaign performance to provide actionable insights and optimize strategies.
• Project manage platform implementations, ensuring timely delivery and client satisfaction.

Requirements:

• Proven experience working with marketing automation platforms like Braze, Iterable, or similar tools.
• Strong analytical skills with the ability to interpret data and draw meaningful conclusions.
• Excellent communication skills to interact with clients and cross-functional teams effectively.
• Demonstrated ability to multitask, prioritize, and manage time efficiently.
• Bachelor's degree in Marketing, Business, or related field.

Years of experience:

Location:

We are seeking a skilled Java Developer to design, develop, and maintain scalable enterprise applications. The ideal candidate should have strong experience in Java, Spring Boot, microservices architecture, REST APIs, and database technologies. The role involves collaborating with cross-functional teams to deliver high-quality software solutions.

• Design, develop, test, and deploy Java-based applications.
• Build and maintain RESTful APIs and microservices.
• Write clean, efficient, and reusable code following best practices.
• Integrate applications with databases, third-party services, and internal systems.
• Perform code reviews and ensure coding standards are followed.
• Troubleshoot, debug, and resolve production issues.
• Optimize application performance, scalability, and security.
• Collaborate with Product Owners, Business Analysts, QA teams, and DevOps engineers.
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement.

• Strong proficiency in Java (8/11/17+).
• Hands-on experience with Spring Boot, Spring MVC, and Spring Data JPA.
• Experience with Microservices Architecture.
• Strong understanding of REST APIs and web services.
• Experience with SQL databases (Oracle, MySQL, PostgreSQL) and query optimization.
• Knowledge of Hibernate/JPA.
• Experience with Git, Maven, and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
• Understanding of Agile development methodologies.

• Experience with messaging systems such as Kafka or RabbitMQ.
• Knowledge of Redis or other caching technologies.
• Exposure to security frameworks such as OAuth2 and JWT.
• Experience with monitoring tools like Splunk, ELK, Grafana, or Prometheus.
• Familiarity with unit testing frameworks such as JUnit and Mockito.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant experience in Java application development.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Years of experience: 5 to 9 Years

Location:

Responsibilities-

Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs.
Proficiency in the entire Predictive Modelling life cycle – From exploratory data analysis, data cleaning, Feature Engineering to Model Building and Validation, Operationalization and Scalability and establishing decision strategies, Experimentation Setup (hypothesis testing, measurements) etc.
Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures.
Programming skills in Python, SQL, and hands-on experience using cloud technology platforms like AWS or Azure.
Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences.

GOOD TO HAVE SKILLS
Exposure to AI-centric tools like PyTorch, Langchain, Langgraph is desirable
Familiarity with agentic AI concepts (autonomous planning, reasoning, and multi-step actions) and tools like LangChain, AutoGen, or similar orchestration frameworks. Ability to test and deploy AI agents to automate routine tasks
Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions

Years of experience: 4 to 9 Years

Location:

We are seeking a skilled Java Developer to design, develop, and maintain scalable enterprise applications. The ideal candidate should have strong experience in Java, Spring Boot, microservices architecture, REST APIs, and database technologies. The role involves collaborating with cross-functional teams to deliver high-quality software solutions. Key

Responsibilities

• Design, develop, test, and deploy Java-based applications.
• Build and maintain RESTful APIs and microservices.
• Write clean, efficient, and reusable code following best practices.
• Integrate applications with databases, third-party services, and internal systems.
• Perform code reviews and ensure coding standards are followed.
• Troubleshoot, debug, and resolve production issues.
• Optimize application performance, scalability, and security.
• Collaborate with Product Owners, Business Analysts, QA teams, and DevOps engineers.
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement.

• Strong proficiency in Java (8/11/17+).
• Hands-on experience with Spring Boot, Spring MVC, and Spring Data JPA.
• Experience with Microservices Architecture.
• Strong understanding of REST APIs and web services.
• Experience with SQL databases (Oracle, MySQL, PostgreSQL) and query optimization.
• Knowledge of Hibernate/JPA.
• Experience with Git, Maven, and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
• Understanding of Agile development methodologies.

• Experience with messaging systems such as Kafka or RabbitMQ.
• Knowledge of Redis or other caching technologies.
• Exposure to security frameworks such as OAuth2 and JWT.
• Experience with monitoring tools like Splunk, ELK, Grafana, or Prometheus.
• Familiarity with unit testing frameworks such as JUnit and Mockito.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant experience in Java application development.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

• Certification in Java, AWS, Azure, or Kubernetes.
• Experience working in large-scale enterprise environments.

Skill: Java, Spring Boot, Microservices, REST API, Hibernate, JPA, SQL, Oracle, MySQL, Kafka, Docker, Kubernetes, AWS, Azure, Git, CI/CD, Agile Scrum.

Years of experience: 4 to 9 Years

Location:

We are looking to hire a new MS Senior Security Engineer who will report directly to the Managed Services Security Operations Manager. In their role they will work closely with our Bounteous team members, lines of business and clients to help protect the data, products and infrastructure against security threats in support of the Managed Services practice. The role will be working with each of the Business Units, as well as Project, Engineering and client teams to meet security and compliance services as described in the client’s SOW, including but not limited to: vulnerability management, security updates and upgrades, responding to intrusions, reviewing devices for strong security postures, and staying current with the latest Information Security trends and news.

Role and Responsibilities

• Support the implementation of a strategy and roadmap for Bounteous Managed Security service offerings and contribute to driving the roadmap to completion.
• Participate in BU security architecture and review offering input pertaining to how proposed changes will have positive or negative downstream impact to Managed Services' ability to effectively provide services.
• Participate in Security on call and escalation rotation.
• Ensure that standard processes and operating procedures are regularly updated, stored in a knowledge repository, and strictly followed.
• Follow access standards for Cloudflare as implemented by the Dining BU to support statements of work for Security services.
• Responsible for working with Managed Services clients and teams to help them addressclient queries regarding Bounteous' information security posture, future strategy and current controls.
• Prioritize and address complex technical incidents and requests received through the ITSM ticketing system related to applications and production environments.
• Contribute to the design and implement multilevel security strategies to protect Managed Services networks and data resources.
• Coordinate requests by Managed Services accounts for security upgrades and test software to the upgrade as documented in the Service Request. Assess when Service Request scope is better suited as a Project and should be billed to the client as such.
• Respond to intrusions using expertise in computer forensics.
• Anticipate future problem areas by monitoring workflows and network traffic patterns.
• Share recommended remediation steps with appropriate Managed Services and account leadership as needed
• Serve as an escalation point within the team by working with Managed Services teams, lower-level Security Analysts, clients, or project teams.
• Work with business units and Managed Services teams to understand the changes recommended to deploy/manage/maintain firewall rules and encryption programs to protect data resources.
• Provide after-hours deployment support to application development teams as needed.
• Architect solutions for specific Security service proposals, identifying cost buildup that includes work effort, tools, etc.
• Provide support in the development and delivery of presentations to clients and prospective clients about security services.
• Assist in the completion of documented client security questionnaires, manage Service Requests, Change Requests, and assignment trackers.
• Supporting the Lines of Business and clients in facilitating such reports including auditing certification requests (e.g., SOC, ISO, etc.) to a successful outcome.
• Working with internal corporate teams, upon request, to address questions in the area of IT, Infrastructure, Supplier Risk Management, Cyber Defense, and application teams to facilitate responses related to application functionality and security.
• Perform Vulnerability Management and reporting that feeds into the Managed Service’s workflow for resolution.

Preferred Qualifications

• BA/BS in Computer Science and or equivalent experience
• 6+ years of industry experience/background in IT services specifically senior security operations roles, experience as a business information security officer is a plus
• 2+ years of Cloudflare administration and configuration for enterprise clients
• Information Security specific qualification is desirable (such as CISM, CISA, CISSP)
• Experience in handling attack mitigation and thorough knowledge of various attacks
• Ability to assess security and business risks, analyzing and presenting critical risks and potential remediation activities to all levels of management within the business
• Experience in coaching on and analyzing of traffic for attack anomaly detection and creation of mitigation rules
• Security skills and certifications preferred: CISSP, GCIA GCIH, GCFA, GCFE, Cloudflare, etc..
• Proficient in the use of tools such as Cloudflare, Burp Suite, Kali Linux, VMware Fusion, AWS, Sumologic, Data Dog, CrowdStrike, ServiceNow, MS Office product suite (365)
• Fluent in Terraform
• Ability to work flexibly to meet demanding deadlines
• Excellent communication skills, both verbal and written
• Strong time management and organizational skills with the ability to manage multiple tasks and changing priorities
• Ability to work collaboratively in a team
• Experience in implementing security-related policies and procedures to support organizational scaling and growth projections
• Experience with 7 x 24 on call role and ability to participate in on call rotation, willing to work after hours and/or over-time to support service coverage requirements

Years of experience: 5 to 10 Years

Location:

• Oversee resource management for multiple projects, ensuring optimal allocation and utilization of resources.
• Develop resource management strategies to meet project deadlines and budget constraints.
• Collaborate with project managers to understand resource requirements and constraints.
• Monitor project schedules to identify and address resource gaps or conflicts.
• Conduct regular assessments of resource allocation and make adjustments as necessary.
• Streamline resource management processes to improve efficiency and productivity.
• Provide guidance and support to project teams on resource management best practices.
• Generate reports and analysis on resource utilization and forecasting for senior leadership.
• Stay updated on industry trends and best practices in resource management to drive continuous improvement.
• Mentor and manage a team of resource management professionals, providing leadership and development opportunities.

Years of experience: 8 to 10 Years

Location:

We are seeking a Technically savvy Principal Architect for the Media and Telecom Business unit to lead global delivery teams for our Enterprise customers. This role needs strong technical competency and a passion to lead Engineering teams from the front to create customer delight.

Key Responsibilities

• Lead large programs across Digital product development, and Digital Transformation successfully.
• Lead the design and execution of technical and business strategies for large-scale, complex projects.
• Build trusted advisor relationships with operational and strategic client stakeholders (CxOs, VPs) .
• Partner with various internal teams - client partner organisation, BD, practices to create organisation success
• Drive ideal business outcomes – exceeding customer satisfaction, meeting revenue targets while maintaining margin targets.
• Stay ahead of industry and technology trends and influence clients help them adopt to achieve their business goals
• Lead pursuits and technical discovery sessions in order to gather business requirements, understand the scope of work and come up with estimations
• Work on RFP’s, Demos, POC’s with the team of experts and present it to client stakeholders as part of pre-sales
• Grow, mentor, and develop a global, distributed delivery team to meet evolving client and business needs.
• Foster a collaborative and high-performing team culture.
• Drive talent acquisition, retention, and development aligned with client and business requirements.
• Proactively monitor, document, and resolve portfolio, program and project risks and issues while escalating as needed.
• Define, enable, and continuously improve processes to ensure seamless collaboration across delivery teams.
• Propose and implement new processes to address inefficiencies, align with industry best practices, and enhance operational performance.
• Bring in GenAI enabled productivity improvements and AI-enabled solutions proactively.

Qualifications and Experience

• Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, Business Administration, or a related field.
• 15+ years of experience leading Engineering teams in a services organization.
• 10+ years of experience in leading technology teams in Media and Telco vertical is a plus. Other domain knowledge is fine as well
• Experience in full-cycle software delivery as a developer in building Enterprise applications using technologies including Java or Node, React or Angular, Python. This is mandatory
• Experience with building Agentic AI applications using LLMs, RAG, AI orchestration frameworks using LangChain, LangGraph , n8n, CrewAI etc and productivity improvements using AI tools like Cursor, Copilot etc
• Experience and Expertise on solution architecture, microservices applications, and building applications on the cloud (AWS/ Azure/ GCP)
• Led Digital Transformation engagements and handled end-to-end delivery not limited to MarTech (AJO / Marketo/ SFMC, AEP, Analytics), CRM (Salesforce/Dynamics), CMS (AEM, Acquia) is a plus - Nice to have
• Experience in handling AEM and AEM cloud migration delivery projects is a plus.
• Breadth and Depth of technology experience and the ability to quickly understand new technologies
• Expertise on DevOps practices and release processes
• Proven ability to design and lead technical solutions and architecture.
• Experience managing global teams - with a proven ability to work effectively across remote teams in different geographic locations
• Excellent communicator with all levels of leadership, management, and staff to achieve desired outcomes and build strong alliances and relationships
• Excellent listener with a passion for solving problems
• Expertise in estimating, planning, and staffing work for transformative multi-year programs
• Ability to work under deadlines and manage multiple priorities

Years of experience: 20 to 25 Years

Location:

•Own the full Adobe data stack – RT-CDP, AJO, CJA, and the underlying Experience Platform services, not a single point product.

•End-to-end data lifecycle authority – from source connectors and ingestion through activation, governance, and measurement.

•Pre-sales partnership with Adobe Professional Services and the India alliance team on joint pursuits and CXO conversations.

•AI-augmented practice – leverage GenAI and Customer AI / Attribution AI within a Claude Preferred Services Partner.

•Practice-building mandate – shape Bounteous’ AEP Centre of Excellence, accelerators, and capability roadmap for India.

1. 1. Solution Architecture & Pre-Sales

•Lead architectural discovery with CXO, CDO, Marketing, and Data Engineering stakeholders to translate business goals into AEP solution blueprints.

•Visualize enterprise customer requirements into target-state data architectures spanning ingestion, profile, segmentation, journeys, and analytics.

•Own technical scoping, effort estimation, and the solution narrative in RFP / RFI responses and proposals.

•Partner with Adobe Professional Services / ACS and the partner alliance team on joint solutioning, co-sell, and go-to-market propositions.

•Present reference architectures, data flow diagrams, and ROI / value cases at the executive level.

•Define implementation roadmaps with phasing, dependencies, and risk-mitigation strategies.

1. 2. Data Ingestion & Data Engineering

•Architect ingestion across batch and streaming sources: Source Connectors, Streaming Ingestion API, Data Landing Zone, HTTP API, and Adobe / cloud-native connectors (S3, Azure Blob, GCS, Snowflake, Kafka).

•Design data pipelines, transformation logic, and orchestration for high-volume, multi-source profile and event data.

•Establish data quality, validation, error-handling, and monitoring frameworks (Data Hygiene, Dataset monitoring, Observability).

•Define schema-on-ingest mapping, dataset partitioning, and TTL / retention strategy aligned with platform limits and cost.

•Architect integrations with downstream data warehouses / lakehouses and reverse-ETL patterns where required.

1. 3. Data Modelling, Identity & Profile

•Design XDM (Experience Data Model) schemas – classes, field groups, data types, and descriptors – for both Profile and ExperienceEvent use cases.

•Architect Identity Service strategy: identity namespaces, identity graph design, private graph, and identity stitching across known and anonymous profiles.

•Govern the Real-Time Customer Profile: union schemas, profile enrichment, merge policies, and profile / event store sizing.

•Design data governance with Data Usage Labelling & Enforcement (DULE), data governance policies, consent, and privacy (GDPR, CCPA, Adobe Privacy Service).

•Establish a scalable schema governance model and naming conventions across multiple sandboxes and business units.

1. 4. Segmentation, Audiences & Activation

•Architect audience strategy: batch, streaming, and edge segmentation; segment definitions; and Audience Composition for complex cohorts.

•Design computed attributes, derived datasets, and event-based audience qualification rules.

•Define activation patterns to destinations – advertising, social, email, and custom destinations via Destination SDK.

•Architect federated audience composition and data collaboration patterns where relevant.

•Govern audience overlap, suppression logic, and consent-aware activation.

1. 5. Adobe Journey Optimizer (AJO)

•Architect orchestration of real-time and scheduled journeys across email, push, SMS, in-app, and code-based channels.

•Design event-triggered (Journey) and audience-triggered (Campaign) experiences with decisioning and offer management (Offer Decisioning / Decision Management).

•Define data flows between RT-CDP profile, AJO journeys, and message channels, including profile lookups and external data sources.

•Govern message frequency capping, throttling, deliverability, and channel configuration.

•Architect AJO B2B Edition / journeys for account-based motions where applicable.

1. 6. Customer Journey Analytics (CJA)

•Architect the CJA data view, connection, and stitching strategy across cross-channel datasets.

•Design derived fields, calculated metrics, and attribution models for cross-channel journey analysis.

•Define the relationship between AEP datasets, CJA connections, and downstream reporting / Workspace projects.

•Govern data governance and access controls within CJA and integration with Adobe Analytics where co-existing.

1. 7. AI / ML & Intelligent Services

•Apply Customer AI (propensity / churn) and Attribution AI within AEP for predictive audience and journey use cases.

•Define ML feature requirements, training data design, and the operationalisation of model scores into profiles and segments.

•Architect feature engineering and integration with Data Distiller / Query Service for advanced analytics and ML preparation.

1. 8. Technical Leadership & Governance

•Lead, mentor, and review onshore / offshore AEP engineering and data teams (5–20 practitioners).

•Define platform standards: sandbox strategy, schema governance, naming conventions, CI/CD for AEP configurations, and version control.

•Drive performance and cost optimization: profile store sizing, dataset hygiene, query optimization, and licence-entitlement monitoring.

•Participate in architecture review boards and present designs to client enterprise architecture and data-governance teams.

•Contribute to Bounteous’ AEP CoE: accelerators, reference architectures, implementation playbooks, and reusable assets.

Experience

•10+ years in data, martech, or customer-data platform engineering / architecture.

•4+ years hands-on Adobe Experience Platform across at least two of RT-CDP, AJO, and CJA.

•At least 2 full lifecycle AEP implementations delivered (discovery through activation and hypercare).

•3+ years in a Solution Architect / Lead Architect role with client-facing pre-sales and proposal ownership.

•Demonstrated experience with enterprise-scale, multi-source, high-volume customer data programs.

Core AEP & Data Skills

•XDM schema design, field groups, classes, identity namespaces, and union schema modelling.

•Real-Time Customer Profile, Identity Service, identity graphs, and merge policies.

•Data ingestion: Source Connectors, Streaming Ingestion API, Data Landing Zone, batch ingestion, and mapping.

•Segmentation Service (batch / streaming / edge), computed attributes, and audience activation.

•Data governance: DULE labels, policies, consent management, and Privacy Service.

•Query Service / Data Distiller, SQL, derived datasets, and accelerated query / data views.

•Strong SQL and at least one of Python / Spark for data engineering and transformation.

•Understanding of cloud data ecosystems (Snowflake, Databricks, BigQuery, S3, Azure, GCP) and ETL / ELT patterns.

Application & Integration Skills

•Adobe Journey Optimizer: journeys, campaigns, channels, decisioning, and offer management.