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

---

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

---

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:

Azure DevOps Engineer

Location: Hybrid / Remote Experience: 5–10 Years

About the Role

We are seeking an experienced Azure DevOps Engineer to design, implement, and manage cloud infrastructure and DevOps pipelines on Microsoft Azure. The ideal candidate has strong expertise in Infrastructure as Code (IaC), CI/CD automation, containerization, cloud security, and monitoring.

You'll work closely with development, QA, security, and infrastructure teams to build scalable, secure, and highly available cloud platforms while driving automation across the software delivery lifecycle.

Key Responsibilities

• Design, deploy, and manage Azure cloud infrastructure following best practices
• Build and maintain CI/CD pipelines using Azure DevOps
• Automate infrastructure provisioning using IaC tools (Terraform, ARM Templates, or Bicep)
• Implement and manage containerized applications using Docker and Kubernetes (AKS)
• Configure and maintain Azure networking (VNets, NSGs, Application Gateway, Load Balancers, Private Endpoints, VPN Gateway, Azure Firewall)
• Implement monitoring, logging, and alerting using Azure Monitor, Log Analytics, Application Insights, and Microsoft Sentinel
• Manage Azure resources (VMs, App Services, Azure SQL Database, Storage Accounts, Key Vault, Azure Functions, AKS)
• Implement secure identity and access management using Microsoft Entra ID, RBAC, Managed Identities, and Key Vault
• Optimize infrastructure for cost, scalability, reliability, and performance
• Collaborate with development teams to improve deployment automation and release processes
• Perform infrastructure troubleshooting, root cause analysis, and production support
• Implement backup, disaster recovery, and high availability solutions
• Ensure compliance with security standards and cloud governance policies
• Maintain documentation for architecture, deployment, and operational procedures

Required Technical Skills

Azure Services: VMs, App Services, Storage, SQL Database, Functions, AKS, ACR, Key Vault, Monitor, Log Analytics, Application Gateway, Load Balancer, DNS, Virtual Network, Firewall, Backup, Recovery Services Vault

DevOps & Automation: Azure DevOps, Git, Azure Repos, Azure Pipelines, YAML Pipelines, CI/CD, Release Management

Infrastructure as Code: Terraform (preferred), ARM Templates, Bicep

Containers & Orchestration: Docker, Kubernetes, Helm

Scripting: PowerShell, Bash, Python (preferred)

Monitoring & Logging: Azure Monitor, Log Analytics, Application Insights, Grafana (preferred), Prometheus (preferred)

Security: Microsoft Entra ID (Azure AD), RBAC, Managed Identity, Azure Key Vault, Azure Policy, Defender for Cloud

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• 5–10 years of overall IT experience, with at least 4 years on Microsoft Azure
• Strong understanding of Azure architecture and cloud-native services
• Experience implementing enterprise-grade CI/CD pipelines
• Hands-on experience with Infrastructure as Code
• Experience managing production Azure environments
• Strong understanding of networking, security, and cloud governance
• Experience with Agile and DevOps methodologies
• Excellent troubleshooting and analytical skills
• Strong communication and stakeholder management skills

Preferred Qualifications

• Microsoft Certified: Azure Administrator Associate
• Microsoft Certified: Azure DevOps Engineer Expert
• Microsoft Certified: Azure Solutions Architect Expert
• Terraform Associate Certification
• Kubernetes Certification (CKA/CKAD) a plus

Desired Soft Skills

• Strong ownership and accountability
• Excellent problem-solving skills
• Ability to work independently and within cross-functional teams
• Effective communication and documentation
• Continuous learning mindset
• Ability to manage multiple priorities in a fast-paced environment

Years of experience: 5 to 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:

• Design and implement Marketo solutions including campaign setup, automation, integration with CRM systems, and performance tracking.
• Collaborate with cross-functional teams to gather requirements and optimize marketing processes using Marketo.
• Stay updated on the latest Marketo features and recommend best practices for implementation.
• Develop and maintain documentation related to Marketo processes, data mappings, and system configuration.
• Lead training sessions for end-users to improve the understanding and utilization of Marketo capabilities.

Requirements:

• Bachelor's degree in Marketing, Information Technology or related field.
• Proven experience working with Marketo or similar marketing automation platforms.
• In-depth understanding of CRM systems and their integration with marketing tools.
• Strong analytical skills to interpret data and provide insights for campaign optimization.
• Excellent communication skills for liaising with internal teams and conducting training sessions.
• Marketo certification is a plus.

Skills:

• Marketo
• Adobe Campaign
• Salesforce Marketing Cloud
• HubSpot
• Pardot
• Eloqua

Years of experience: 8 to 14 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.

• 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:

Role Overview

The Delivery Director is responsible for leading large-scale delivery operations across multiple accounts, ensuring excellence in execution, client satisfaction, profitability, and alignment with the organization’s strategic goals. The role requires a seasoned leader with a strong background in IT services delivery, people management, and stakeholder communication.

Key Responsibilities

1. Delivery Management

• Oversee end-to-end delivery across multiple projects, ensuring adherence to scope, quality, timelines, and budget.
• Implement robust governance, delivery frameworks, and agile methodologies.
• Drive continuous improvement in delivery processes and tools.

2. Client Relationship Management

• Act as the primary escalation point for key clients.
• Build strong relationships with client executives, ensuring satisfaction and retention.
• Identify opportunities for account growth and transformation initiatives.

3. Financial & Operational Excellence

• Own P&L for assigned accounts or business units.
• Track and report key delivery metrics (margin, utilization, quality, SLA adherence).
• Optimize resource allocation, cost structures, and operational efficiency.

4. Leadership & People Management

• Lead, mentor, and develop project delivery managers and teams.
• Foster a culture of performance, innovation, and collaboration.
• Drive talent management, succession planning, and capability building.

5. Strategic Initiatives

• Partner with business and technology leaders to drive digital transformation and automation initiatives.
• Contribute to pre-sales, RFPs, and solutioning for new engagements.
• Align delivery practices with organizational growth and client strategy.

Key Skills & Competencies

• Proven track record of managing large delivery portfolios ($10M–$20M+).
• Strong leadership, communication, and stakeholder management skills.
• Expertise in Agile / DevOps / ITIL frameworks.
• Excellent problem-solving and decision-making capabilities.
• Sound understanding of software development lifecycle (SDLC) and delivery governance.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
• 15–25 years of IT services experience with at least 5 years in a senior delivery leadership role.
• Experience working with global clients (US / Europe) across multiple industries.
• PMP / PRINCE2 / SAFe certifications preferred.

Success Indicators

• High client satisfaction and contract renewals.
• Delivery excellence across all accounts.
• Profitability and margin improvement.
• Low attrition and high team engagement.
• Effective adoption of digital delivery tools and frameworks.

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. 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.

•Customer Journey Analytics: connections, data views, derived fields, calculated metrics, and attribution.

•Adobe Experience Platform APIs, Adobe I/O, Destination SDK, and Source SDK for custom integrations.

•Adobe Web SDK / Edge Network, Tags (Launch), and event-forwarding / server-side collection.

•Integration patterns with AEM, Adobe Analytics, Adobe Target, Marketo, and Adobe Commerce.

Pre-Sales & Architecture Skills

•Executive stakeholder management and C-suite / CDO communication.

•Solution scoping, effort estimation, and program-level sizing for large data engagements.

•Risk identification, mitigation planning, and architectural decision records (ADRs).

•Familiarity with Adobe partner deal-registration and co-sell motion.

Skill / Domain

•Adobe Certified Expert (ACE) – AEP, RT-CDP, AJO, or CJA.

•Experience with AEP Edge Network, Web SDK, and server-side / event-forwarding collection.

•Exposure to AJO B2B Edition and account-based journey orchestration.

•Hands-on with Data Distiller for advanced SQL analytics, BI extracts, and ML feature engineering.

•Experience integrating AEP with AEM, Adobe Analytics, Adobe Target, and Adobe Commerce in a unified DX stack.

•Prior experience at a Global Systems Integrator (GSI), Adobe Professional Services, or Adobe Consulting Services (ACS).

•Familiarity with composable CDP debates and build-vs-buy data architecture trade-offs.

Understanding of data residency, sovereignty, and Healthcare Shield / privacy-regulated deployments.

Years of experience:

Location:

• Oversee the development and implementation of analytics platforms.
• Lead a team of analytics professionals to drive strategic initiatives.
• Collaborate with stakeholders to gather requirements and deliver analytics solutions.
• Ensure data accuracy, integrity, and security across all platforms.
• Stay current on industry trends and introduce new technologies to improve analytics capabilities.

• Bachelor's degree in Computer Science, Data Science, or related field.
• Proven experience in managing analytics platforms and teams.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Familiarity with a variety of analytics tools and technologies.

• Develop and execute a strategic roadmap for analytics platform development.
• Manage the end-to-end lifecycle of analytics projects.
• Drive innovation by exploring new tools and methodologies.
• Provide guidance and support to team members.
• Monitor platform performance and make recommendations for improvements.

Years of experience: 12 to 15 Years

Location:

Job Summary

We are seeking a skilled and experienced NetSuite Administrator to join our team. The ideal candidate will be responsible for managing, maintaining, and optimizing our NetSuite ERP system to ensure its efficient operation and alignment with business goals. This role involves configuring the system, providing user support, and implementing best practices to maximize the system's effectiveness.

Key Responsibilities

System Administration

•Manage and maintain the NetSuite ERP system, ensuring optimal performance and uptime

•Perform regular system audits, data integrity checks, and backups

•Implement and maintain security roles and permissions

Configuration and Customization

•Configure NetSuite to meet business requirements, including creating custom fields, records, forms, and workflows

•Develop and implement custom scripts (SuiteScript) to automate processes and improve system functionality (preferred, not mandatory)

•Customize dashboards and reports to provide actionable insights for stakeholders

User Support and Training

•Provide end-user support, troubleshooting issues, and resolving system-related problems

•Conduct training sessions and create documentation to assist users in effectively utilizing the system

•Act as a liaison between users and NetSuite support for any escalated issues

Data Management

•Oversee data migration, data imports, and data integrity within the system

•Manage data cleanup projects and ensure data accuracy and consistency

•Develop and maintain integrations with other business systems as needed (preferred, not mandatory)

Process Improvement

•Identify opportunities for process improvement and automation within NetSuite

•Collaborate with cross-functional teams to streamline workflows and enhance system efficiency

•Implement best practices and ensure compliance with industry standards

Reporting and Analysis

•Create and maintain custom reports, saved searches, and dashboards to support business needs

•Analyze system usage and performance to identify trends and areas for improvement

•Provide regular updates and reports to management on system status and projects

Qualifications

•Bachelor's degree in Information Systems, Computer Science, Business Administration, or a related field

•3+ years of relevant experience as a NetSuite Administrator

•Strong understanding of NetSuite ERP modules (P2P, O2C, R2R) as a functional admin

•Understanding of Fixed Assets Management, Amortization, Advanced Saved Searches, Procure to Pay, and workflow concepts, etc. is preferred

•Proficiency in SuiteScript, SuiteFlow, and SuiteAnalytics (preferred, not mandatory)

•Excellent problem-solving skills and attention to detail

•Strong communication and interpersonal skills

•Ability to work independently and as part of a team

•NetSuite Administrator Certification is preferred

Years of experience: 3 to 6 Years

Location:

Job Descriptions:

L3 BE – Java Developer

Role Purpose

Provide L3 support and enhancements for mobility apps focusing on integration and backend stability.

Key Responsibilities

•Analyze and resolve integration issues in MuleSoft and Java-based services

•Develop and deploy hotfixes and enhancements for mobility apps

•Collaborate with Tech Lead and QA for release validation

•Maintain API documentation and ensure compliance with security standards

•Participate in BCP drills and on-call rotations for critical incidents

Required Skills

•5–8 years in Java and MuleSoft development

•Strong understanding of API-led connectivity and microservices architecture

•Experience with GraphQL is optional but a plus for cross-stack troubleshooting

•Familiarity with CI/CD pipelines and observability tools

Experience

•5–8 years experience

Location Model

Offshore with overlap for US hours.

KPIs

•Integration defect resolution within SLA

•Enhancement delivery within monthly cap

•API uptime ≥ 99.9%

Years of experience: 5 to 8 Years

Location:

Responsibilities:

• Design, develop, and deploy machine learning models using Python and Azure.
• Lead analytics projects in various domains like retail, finance, or consumer analytics.
• Build and train ML models, and deploy them using Python on Azure.
• Refactor outdated Python code to adhere to modern coding principles.
• Develop and deliver web applications using Python, Django, HTML, CSS, and RESTful APIs.
• Create APIs using Java, Python, and Node.js.
• Build customer health status analytics dashboards to enhance customer interactions.
• Implement automation projects using Python for web and API frameworks like Flask and FastAPI.
• Refine and maintain production code written in SQL, Python, and Spark.
• Collaborate with clients, implementation teams, and associates to ensure project success.
• Develop data ingestion tools using Python to extract data from relational databases and external APIs.

Requirements:

• Bachelor's degree in Computer Science, Data Analytics, or a related field.
• Strong expertise in Python and at least one popular framework like Django, Flask, or Pyramid.
• Proficiency in SQL, SAS, or other statistical programming languages.
• Experience in developing unit tests and ensuring code quality.
• Knowledge of scripting languages such as Perl, Bash, or Shell scripting.
• Ability to write efficient and modular server-side code in Python.
• Strong technical skills in .NET Core, Python, Web API, and Azure/AWS.
• Familiarity with CI/CD automation using PowerShell, Linux shell scripts, and Python.
• Experience in building data ingestion and processing code using Python, PySpark, or similar languages.
• Track record of driving operational excellence through deep-dive analytics of business processes.
• Excellent coding skills and the ability to debug programs and integrate third-party services.
• Proven experience in developing analytics dashboards and visualizations for business insights.

Years of experience: 8 to 15 Years

Location:

Job Description for the Role:

• Independently communicate with the client and gather requirements.
• Implement high quality solutions and ensure high quality unit testing.
• Perform peer review and follow deployment standards.
• Good understanding of Software Development Life Cycle and Agile process.
• Good research skills and quick learning abilities.
• Adhere to project timelines and deadlines.

Primary Skill & Secondary Skills:

• Minimum 3 years of experience developing and customizing Salesforce.com application, via web services, Apex, SOQL, Flow.
• Develop and maintain Salesforce applications using Apex, Lightning Web Components (LWC), and Flows.
• Configure and customize Salesforce CPQ including Product Rules, Price Rules, Quote Templates, and Approvals.
• Collaborate with testers to deliver robust and efficient solutions.
• Implement integrations with external systems using REST/SOAP APIs.
• Participate in requirement analysis, effort estimation, and deployment activities.
• Ensure adherence to Salesforce best practices and maintain high-quality technical deliverables.
• Provide ongoing support and troubleshooting for Salesforce and CPQ solutions.
• Conga CPQ Exposure is a must have.

Good to Have:

• Experience with Devops tools.
• Knowledge of Agile/Scrum methodologies.
• Salesforce CPQ Specialist certification.

Years of experience: 3 to 7 Years

Location:

Experience: 2–4 Years

Employment Type: Full-Time

Role Summary

Responsible for L2 monitoring, incident management, and system stability ensuring SLA adherence in production environments.

Key Responsibilities

• · Monitor systems and manage incidents with RCA
• · Handle L2 troubleshooting and escalation
• · Perform system maintenance and configuration
• · Ensure SLA adherence and uptime
• · Coordinate with internal and external teams
• · Maintain SOPs and documentation
• · Support 24x7 operations

Core Skills (Must Have)

• · Linux/Unix
• · Monitoring tools
• · Incident management
• · Troubleshooting

Good to Have Skills

• · Basic scripting
• · ITIL knowledge
• · Log analysis

Qualifications

• · Bachelor’s degree
• · 2–4 years experience

Key Competencies

• · Analytical thinking
• · Problem-solving
• · Communication
• · Ownership mindset
• · Team collaboration

Years of experience:

Location:

Role Overview 

We are seeking an ML Developer with expertise in natural language processing and financial compliance to design, implement, and benchmark deterministic and transformer-based detection models for electronic communication surveillance. requires detect market abuse, conduct risk, information barrier breaches, and off-channel evasion across trader communications. 

ASIC INFO 283 explicitly warns against reliance on vendor default alert thresholds, requiring licensees to calibrate models to their specific risk profile. You will build the model benchmarking framework that continuously tests and measures detection model effectiveness, enabling to demonstrate to regulators that its surveillance models are tuned, validated, and performing to measurable standards. 

Key Responsibilities 

• Design and implement deterministic detection models for eComms surveillance: market abuse language, insider information patterns, tipping-off phraseology, information barrier breaches, conduct risk, off-channel evasion, and trade-comms correlation 

• Develop and fine-tune transformer-based NLP models (BERT, RoBERTa, FinBERT) for context-aware detection beyond simple lexicon matching 

• Build and maintain a model benchmarking framework with ground truth datasets, precision/recall/F1 measurement, AUC-ROC analysis, and automated weekly benchmark runs 

• Implement threshold tuning workflows to calibrate alert sensitivity per desk, asset class, and jurisdiction — ensuring compliance with ASIC INFO 283 guidance 

• Design false positive reduction strategies: contextual filtering, trader baseline profiling, alert clustering, and analyst feedback loops 

• Develop false negative detection: red team simulated misconduct, historical replay testing, coverage gap analysis, and cross-model ensemble voting 

• Prepare communication data for transformer models: tokenisation, sequence formatting with context windowing, label engineering from investigations, and data augmentation 

• Implement model drift detection using PSI and KL divergence with automated alerts when distributions shift 

• Build champion-challenger evaluation: shadow-mode deployment with statistical significance testing before production promotion 

• Deliver model explainability using SHAP/LIME for regulatory audit readiness 

• Produce monthly model effectiveness scorecards for compliance committee review 

• Collaborate with the eComms pipeline team to ensure clean, normalised inputs for ML model training and inference 

Required Qualifications 

1. 5+ years in machine learning engineering, with at least 3 years in NLP/text classification in financial services or compliance 

2. Strong proficiency in Python (scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers) 

3. Hands-on experience fine-tuning pre-trained language models (BERT, RoBERTa, GPT-family) for domain-specific tasks 

4. Experience building model evaluation and benchmarking pipelines with automated metric tracking and drift detection 

5. Understanding of financial services compliance: market abuse, insider trading, front-running, conduct risk 

6. Experience with threshold tuning, FP/FN trade-off analysis, and precision-recall optimisation 

7. Familiarity with model explainability frameworks (SHAP, LIME) and model governance requirements 

8. Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or Computational Linguistics 

Preferred Qualifications 

• Experience with surveillance platforms (NICE Actimize, Behavox, Shield FC) and their detection model architectures 

• Knowledge of ASIC INFO 283 model calibration requirements 

• Experience with voice analytics: speech-to-text, speaker diarisation, tonality/sentiment analysis 

• Familiarity with active learning and human-in-the-loop ML workflows 

• PhD in NLP, Computational Linguistics, or Machine Learning 

Technical Skills & Tools 

• ML frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, spaCy, NLTK 

• NLP: BERT, RoBERTa, FinBERT, GPT-family, Word2Vec, FastText, sentence-transformers 

• Data processing: pandas, NumPy, Apache Spark, Dask, polars 

• MLOps: MLflow, Kubeflow, Azure ML, Weights & Biases, DVC 

• Model evaluation: SHAP, LIME, AUC-ROC, precision-recall curves, PSI, KL divergence 

• Infrastructure: Docker, Kubernetes, GPU compute (NVIDIA A100/H100), Azure ML Compute 

• Databases: PostgreSQL, Elasticsearch, vector databases (Pinecone, Weaviate, pgvector) 

Years of experience: 5 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, andmaintainMurex workflows for Back Office processes, including settlements, confirmations, and payment instructions.

• Implement andoptimizeMurex 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 andmaintaininterfaces 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:

• 8+ years of experience in Murex development, with a strong focus on Workflows and Back Office modules.

• Expertisein Murex Data Model, Templates, Events, Tasks, and Workflow design.

• Strong understanding of settlement processes, confirmations, and trade lifecycle across multiple asset classes (FX, derivatives, fixed income).

• Hands-on experience with regulatory compliance implementations (e.g., EMIR, MiFID, Dodd-Frank).

• Proficiencyin SQL, Unix scripting, and Murex technical architecture.

• Experience with integration protocols (e.g., MQ, XML, APIs) and messaging standards (SWIFT).

• Excellent problem-solving and debugging skills.

• Strong communicationand stakeholder management abilities.

Years of experience: 8 to 20 Years

Location:

We are hiring an experienced Content Lead to anchor the content function within our global Marketing Operations team. This is a hands-on role for a strong creator and operator — someone equally comfortable building content from scratch and managing the processes that keep a global content engine running efficiently.

The ideal candidate brings 7–10 years of B2B content experience, with a proven ability to produce high-quality work with minimal revision cycles. You will create and commission thought leadership content, manage the global content calendar, support internal communications, and work closely with business and brand stakeholders across regions including EMEA and North America.

You will sit within the Marketing Operations team and be a critical contributor to its broader charter — bringing both creative capability and operational rigour to everything you produce.

Content Creation & Thought Leadership

•Create high-quality B2B content across formats — thought leadership POVs, whitepapers, case studies, blog posts, website copy, and campaign assets — with minimal revision required

•Work with business leaders to understand their areas of expertise and translate ideas into polished, audience-ready content

•Develop and maintain the annual thought leadership roadmap aligned to our AI solutions positioning and key industry narratives

•Adapt content for different regions and audiences — including EMEA and North America — ensuring relevance, tone, and market fit

Internal Communications

•Take a brief from stakeholders and turn it into clear, polished employee-facing content — independently and on time

•Draft and publish internal emails using Stensul, ensuring on-brand formatting and timely delivery

•Create and maintain intranet pages on SharePoint, keeping content current, well-structured, and easy to navigate

•Produce internal PDFs and supporting documents for leadership updates, all-hands communications, and culture narratives

•Support the Global Comms Director on internal communication planning, calendar management, and execution

•Partner with HR and leadership to ensure employee messaging is consistent and aligned with company direction

Content Creation & Brand Collaboration

•Take on ad hoc content creation as required — case studies, website updates, campaign assets — working to brief without extensive hand-holding

•Work closely with the branding team to ensure all content is visually and tonally aligned with brand guidelines

•Use appropriate tools — including WordPress, Drupal, Stencil, and SharePoint — to create and publish content across channels

•Build repeatable, scalable processes to reduce revision cycles and improve output consistency

•Partner with brand on new content formats, templates, and storytelling initiatives

Marketing Operations Integration

•Function as a core member of the Marketing Operations team — contributing to planning cadences, reporting, and cross-functional coordination

•Align content outputs - ensuring content serves marketing pipeline objectives

•Maintain content performance dashboards and use insights to inform editorial decisions

•Take clear direction from multiple stakeholders simultaneously, managing priorities without losing quality or pace

Experience & Background

•7–10 years of B2B content experience, ideally in IT services, technology, or AI/data-driven industries

•A strong content creator — known for producing clean, well-structured, audience-ready work that requires minimal rework

•Experience creating content for multiple regions including EMEA and North America, with sensitivity to local tone and market context

•Hands-on experience with internal communications — emails, intranet pages, PDFs, and employee-facing content

•Comfortable doing both creation and execution — equally capable of writing a whitepaper and publishing an intranet page

•Experience working with and taking direction from multiple stakeholders across functions and seniority levels

•Background in managing or contributing to thought leadership programmes in a B2B context

Tools & Platforms

•Proficient with email creation tools, specifically Stensul or equivalent platforms

•Experienced with intranet and CMS platforms including SharePoint, WordPress, and Drupal

•Comfortable using design and content creation tools such as Stencil for on-brand visual content

•Fluency with AI tools: hands-on experience building repeatable workflows using platforms such as Claude or ChatGPT — including structured project creation, prompt design, and operationalising AI assistance across the content lifecycle

•Proficiency with content and marketing operations tools — project management platforms, DAMs, and content analytics

Years of experience: 7 to 12 Years

Location:

About the Role

We are seeking an experienced Test Lead / Scrum Master with strong expertise in Regulatory and Trade Reporting within financial services. This role involves leading QA/testing efforts for critical regulatory reporting platforms and facilitating agile delivery as a Scrum Master. The ideal candidate will have hands-on knowledge of regulations such as MiFID II, Dodd-Frank, EMIR, APRA, or other trade/transaction reporting frameworks, along with deep understanding of SDLC and Agile best practices.


Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

8+ years of experience in QA/Testing with at least 2–3 years in a Lead or Scrum Master role.

Strong knowledge of Trade and Regulatory Reporting in Capital Markets/Investment Banking.

Hands-on exposure to at least one major regulation (MiFID II, Dodd-Frank, EMIR, APRA, etc.).

Excellent communication, stakeholder management, and leadership skills.

Agile/Scrum certification (CSM, PSM) preferred.

Key Responsibilities

Lead end-to-end testing strategy, planning, and execution for regulatory reporting solutions.

Coordinate with development, business analysts, and stakeholders to ensure compliance with reporting regulations (MiFID, Dodd-Frank, EMIR, APRA, etc.).

Act as Scrum Master to drive Agile ceremonies (sprint planning, daily stand-ups, retrospectives, backlog grooming).

Oversee test case design, test data preparation, and defect management for trade/transaction reporting systems.

Ensure alignment with regulatory changes and maintain high testing standards to mitigate compliance risks.

Track and report testing progress, risks, and issues to senior management.

Mentor and guide team members in QA processes and Agile practices.

Years of experience: 10 to 15 Years

Location:

We're hiring Senior Software Engineers to join our AI-native engineering team. You'll design, build, and operate production AI systems - including AI platform capabilities, agentic workflow infrastructure, and LLM-powered features that serve institutional financial clients. This is a hands-on individual contributor role for engineers who are deeply fluent in AI-native development and want to work at the intersection of applied AI and backend systems engineering. 

Build and Operate AI Systems

• Design, build, and ship production-quality backend services, APIs, and AI platform components used across multiple engineering teams

• Build and integrate LLM-powered systems such as RAG pipelines, AI SDKs, evaluation workflows, guardrails, prompt/tool orchestration, and model observability

• Improve the reliability, scalability, observability, and operational quality of production AI systems

• Build internal tools, frameworks, automation, and documentation that improve developer productivity and AI capabilities

•Participatein code reviews, design reviews, debugging, incident response, and operational support

Drive Technical Excellence

• Contribute to technical design for complex projects, including evaluating tradeoffs and proposing pragmatic implementation plans

• Partner with product, design, and engineering teams to translate platform needs into well-designed technical solutions

• Helpidentifyand reduce technical debt, reliability risks, and friction in the software development lifecycle

• Collaborate with Staff and senior engineers toestablishreusable patterns and raise engineering standards

Build with AI-Native Practices

• Use agentic coding tools and LLM-assisted development as a primary part of your workflow — this is how the entire team operates

• Critically evaluate AI-generated code for correctness, edge cases, and regressions — shipping quality output regardless of how it was produced

• Contribute to the team's evolving practices around AI-accelerated development and testing

QUALIFICATIONS Required

• 5+ years of experience designing, building, and operating production software systems

• Strong backend engineering experience with Python frameworks such asFastAPI, Flask, or Django

• Experience building or integrating AI/LLM-powered systems in production - such as RAG pipelines, AI SDKs, evaluation workflows, guardrails, or agentic workflows

• Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling

• Experience with cloud-native technologies such as AWS, Docker, and Kubernetes

• Strong understanding of CI/CD, observability, and operating services in production

• Ability to break down complex technical problems and deliver pragmatic, maintainable solutions

• Strong ownership mindset, with the ability to drive projects independently while collaborating effectively

• Clear communication skills and the ability to explain technical tradeoffs to engineering and cross-functional partners

• Hands-on experience with AI-native development tools (e.g., Cursor, Augment);demonstratedability to embed AI-driven practices to accelerate velocity and code quality

• Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases

Preferred

• Experience with document processing pipelines, structured extraction from unstructured documents, or vector stores

• Familiarity with evaluation frameworks for LLM output quality (e.g., RAGAS, custom evals, human-in-the-loop review)

• Background in financial services or fintech

Years of experience: 5 to 7 Years

Location:

About the M-Shape Profile
An M-shape engineer brings deep expertise in two distinct disciplines — in this case Java backend and React frontend — combined with broad knowledge across the full software delivery stack. Unlike a T-shape generalist, the M-shape profile ensures the engineer can independently own end-to-end features, lead technical decisions on both sides of the stack, and mentor others across disciplines. This role demands proven depth in both Java and React, not just exposure.

About the Role
We are looking for a Senior Full Stack Engineer with an M-shape profile to join our engineering team. With 8+ years of experience, you will own the design and delivery of complex, end-to-end features — architecting robust Java-based backend services while crafting high-performance, user-centric React frontends. You will play a key role in driving technical standards, mentoring engineers, and contributing to architectural decisions across the full stack.

Key Responsibilities

• Design and develop scalable, high-performance backend services and APIs using Java and Spring Boot, following microservices and distributed system principles.
• Build responsive, accessible, and performant frontend applications using React.js, TypeScript, and modern JavaScript best practices.
• Own end-to-end feature delivery — from database schema and API design through to UI implementation and testing.
• Architect and review solutions across both frontend and backend, ensuring consistency, scalability, and maintainability.
• Design and optimise data models across relational (PostgreSQL, MySQL) and non-relational (MongoDB, Redis) databases.
• Implement and maintain CI/CD pipelines for automated build, testing, and deployment across environments.
• Write comprehensive unit, integration, and end-to-end tests across the full stack to maintain high code quality.
• Lead and participate in code reviews, providing constructive technical feedback to peers and junior engineers.
• Collaborate with product managers, UX designers, and architects to translate requirements into robust technical solutions.
• Mentor and guide junior and mid-level engineers across both frontend and backend practices.
• Contribute to and enforce engineering best practices, coding standards, and the software development lifecycle.

What We're Looking For

1. 8+ years of software engineering experience with demonstrated depth in both Java backend and React frontend development.
2. Strong expertise in Java / Spring Boot — microservices, REST API design, Spring Security, and Hibernate / JPA.
3. Proven proficiency in React.js — component architecture, state management (Redux / Context API), hooks, and performance optimisation.
4. Solid experience with TypeScript and modern JavaScript (ES6+) in production applications.
5. Strong database skills — both relational (PostgreSQL / MySQL) and non-relational (MongoDB / Redis).
6. Experience with containerisation (Docker) and orchestration (Kubernetes) for deploying full stack applications.
7. Familiarity with cloud platforms (AWS, Azure, or GCP) and deploying cloud-native applications.
8. Hands-on experience with CI/CD tooling — Jenkins, GitLab CI, or GitHub Actions.
9. Strong understanding of system design, distributed architectures, and Domain-Driven Design (DDD) principles.
10. Excellent problem-solving skills and ability to communicate technical decisions clearly to both technical and non-technical audiences.

Nice to Have

• Experience with GraphQL APIs in addition to REST.
• Exposure to event-driven architectures using Kafka or RabbitMQ.
• Knowledge of server-side rendering frameworks (Next.js).
• Experience with micro-frontend architectures.
• AWS / Azure cloud certification.
• Familiarity with accessibility standards (WCAG) and responsive design best practices.

Years of experience: 8 Years

Location:

Role Overview:

We are seeking a highly experienced Tech Lead – Python & AI with strong hands-on expertise in Python development and Generative AI technologies. The role involves leading enterprise AI initiatives, building scalable AI-powered applications, and driving adoption of AI-enabled SDLC practices across engineering teams.

The ideal candidate should possess deep technical expertise in backend engineering, AI frameworks, LLM integrations, and modern software architecture while also mentoring teams and driving engineering best practices.

Key Responsibilities:

• Lead the design and development of scalable applications using Python
• Architect and implement Generative AI and LLM-based solutions
• Drive adoption of AI in SDLC processes to improve engineering productivity and automation
• Build AI-enabled APIs, automation workflows, and backend services
• Collaborate with architects, product owners, DevOps, and engineering teams
• Mentor developers and provide technical leadership across AI and backend initiatives
• Ensure application scalability, reliability, security, and maintainability
• Participate in architecture reviews, technical design discussions, and solution planning
• Support deployment, monitoring, and optimization of AI-powered systems

Required Skills & Experience:

1. 10+ years of experience in software engineering with strong expertise in Python
2. Strong hands-on experience in Generative AI and LLM technologies
3. Ability to use AI in SDLC and software engineering workflows
4. Experience with backend frameworks such as FastAPI, Flask, or Django
5. Strong understanding of API development and microservices architecture
6. Familiarity with AI orchestration frameworks such as LangChain or LlamaIndex
7. Experience with cloud platforms such as AWS, Azure, or GCP
8. Understanding of CI/CD pipelines, DevOps practices, and automation
9. Strong leadership, mentoring, and stakeholder management skills

Preferred Skills:

• Experience with vector databases and RAG architectures
• Exposure to MLOps and AI observability tools
• Experience with Docker, Kubernetes, and cloud-native deployments

Years of experience: 10 Years

Location:

Role Overview:

We are seeking a highly skilled Senior Python Engineer with strong expertise in Generative AI and AI-enabled SDLC practices. The role involves designing, developing, and deploying scalable AI powered applications while leveraging Generative AI technologies to improve software development lifecycle efficiency, automation, and enterprise productivity.

The ideal candidate should have strong hands on experience in Python development, AI frameworks, LLM integrations, backend systems, and cloud native application development.

Key Responsibilities:

• Design, develop, and maintain scalable backend applications using Python
• Build and integrate Generative AI and LLM-based solutions into enterprise applications
• Leverage AI technologies to enhance and automate SDLC processes
• Develop APIs and AI-enabled automation workflows
• Integrate AI orchestration frameworks and vector databases into applications
• Optimize application performance, scalability, and reliability
• Collaborate with cross-functional teams including product, DevOps, QA, and business stakeholders
• Implement coding standards, best practices, and reusable components
• Support deployment, monitoring, and troubleshooting of AI-enabled systems
• Participate in architecture discussions and technical design reviews

Required Skills & Experience:

• 8–10 years of experience in Python development
• Strong hands-on experience with Generative AI and LLM technologies
• Ability to use AI in SDLC processes
• Experience with backend frameworks such as FastAPI, Flask, or Django
• Strong understanding of REST APIs and microservices architecture
• Familiarity with AI orchestration frameworks such as LangChain or LlamaIndex
• Experience with vector databases and AI integrations
• Strong understanding of cloud platforms such as AWS, Azure, or GCP
• Knowledge of CI/CD pipelines and DevOps practices
• Strong analytical, debugging, and problem-solving skills

Years of experience: 8 to 10 Years

Location: