• Responsible for providing technical guidance and leading a team of Python developers to ensure timely delivery of projects.
• Strong expertise in Python, including libraries such as pandas, numpy, and seaborn, as well as knowledge of SQL, unittest, mock, pytest, and git repository.
• Proficiency in server-side languages like Java, .Net, and Node.js, with the ability to develop RESTful APIs using MySQL/PostgreSQL databases.
• Experience in core Python and asynchronous programming, with a focus on writing efficient and well-structured Python code.
• Skilled in web development using Python, Django stack, and modern web technologies such as HTML5, CSS3, Angular 4, and Bootstrap.
• Ability to develop automation tools using Python and implement object-oriented concepts for efficient data management.
• Strong knowledge of Go programming language and its paradigms, constructs, and idioms, along with skills in developing scalable software systems using Java, C++, or Python.
• Proficiency in scripting languages like Python, Unix/Linux shell scripting, and parallel comprehension for SRE and DevOps activities.
• Experience in building data ingestion tools, extracting data from relational databases and external APIs using Python.
• Expertise in developing automation scripts and utilizing Python for day-to-day team activities, with additional experience in containerization using Docker and Kubernetes.
• Solid background in working with big data technologies, utilizing SQL and Python for development, data analysis, and automation purposes.
• Proficient in developing robust code using Python, Java, or R, and experience in building RESTful APIs and web applications using Python frameworks like Django.

Requirements:

• Bachelor's or Master's degree in Computer Science or relevant field from a Tier 1/Tier 2 institute.
• 4 to 8 years of experience in software development, with strong expertise in Python, Golang, or relevant programming languages/tools.
• Proven experience in developing scalable software systems, data analysis tools, and automation scripts using Python.
• Excellent problem-solving skills, ability to work collaboratively in a team, and a passion for innovation and technology.
• Familiarity with technologies such as AWS, PySpark, Spark Scala, Node.js, and various Python frameworks like Django and Flask.
• Strong communication skills, detail-oriented mindset, and the ability to work efficiently in a fast-paced environment.

Preferred Skills:

• Experience in using additional programming languages such as Java, Scala, R, or MATLAB for data analysis and software development.
• Knowledge of cloud technologies, serverless computing, and machine learning models deployment using Python.
• Understanding of web development tools and frameworks like Node.js, AngularJS, MongoDB, and RESTful APIs for building modern web applications.

Years of experience: 4 to 8 Years

Location:

Role Overview:

We are seeking an experienced Python Engineer with strong expertise in Generative AI and AI-enabled SDLC practices. The role involves developing AI-powered applications, integrating LLMs into enterprise workflows, and leveraging AI tools to improve software development lifecycle efficiency and automation.

Key Responsibilities:

• Develop scalable backend applications using Python
• Build and integrate Generative AI / LLM-based solutions
• Use AI tools and frameworks to enhance SDLC processes and developer productivity
• Develop APIs and AI-enabled automation workflows
• Work with vector databases, orchestration frameworks, and AI integrations
• Collaborate with engineering, DevOps, and business teams
• Ensure scalability, performance, and maintainability of AI-enabled systems

Required Skills & Experience:

1. 6–9 years of experience in software engineering using Python
2. Strong hands-on experience in Generative AI and LLM technologies
3. Ability to leverage AI in SDLC processes
4. Experience with AI orchestration frameworks and APIs
5. Strong understanding of backend development and automation
6. Good analytical and problem-solving skills

Years of experience: 6 to 9 Years

Location:

Role Summary

We are looking for a Senior Microsoft Dynamics 365 CE Developer with 9+ years of experience in architecting, developing, and implementing enterprise CRM solutions. The ideal candidate will possess deep expertise in Dynamics 365 CE, Power Platform, Azure integration services, Dataverse, and enterprise application architecture. This role requires technical leadership, solution design capabilities, and extensive experience delivering large-scale CRM transformation initiatives.

Key Responsibilities

• Lead the design, development, and implementation of Dynamics 365 CE solutions.
• Architect and develop advanced customizations, plugins, custom workflow activities, and APIs using C#/.NET.
• Design scalable Power Platform solutions using Power Apps and Power Automate.
• Lead data migration and integration initiatives using SSIS and KingswaySoft.
• Design and implement enterprise integrations using Azure Functions, Logic Apps, Service Bus, and REST APIs.
• Define application architecture, integration patterns, and deployment strategies.
• Work closely with business stakeholders, architects, and leadership teams to translate business requirements into technical solutions.
• Establish CI/CD pipelines, release management processes, and DevOps best practices.
• Conduct code reviews, mentor development teams, and enforce development standards.
• Support solution governance, security, scalability, and performance optimization.
• Participate in project estimation, technical planning, and solution roadmap discussions.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 9+ years of experience in Dynamics CRM/Dynamics 365 CE development and implementation.
• Extensive experience in enterprise CRM architecture and solution design.
• Strong expertise in Dynamics 365 CE, Power Platform, Azure Integration Services, and Dataverse.
• Proven experience leading CRM implementation and migration projects.
• Strong stakeholder management and technical leadership skills.
• Deep understanding of SDLC, Agile, DevOps, and enterprise architecture principles.

Preferred Skills

• Microsoft Certified: Dynamics 365 Customer Engagement Developer Associate.
• Microsoft Power Platform certifications.
• Experience with enterprise cloud migration programs.
• Knowledge of Power BI, AI Builder, Copilot Studio, and modern Microsoft ecosystem capabilities.
• Experience working in global delivery and consulting environments.
• Exposure to solution architecture and technical governance responsibilities.

Years of experience: 9 Years

Location:

Responsibilities:

• Design, develop, and implement scalable backend applications using Python as the primary programming language.
• Collaborate with System Designers, Tech Leads, and Manual testers to understand objectives and requirements effectively.
• Build APIs using Java, Python, and Node.js.
• Write complex SQL queries to perform various types of analysis and aggregations.
• Participate in the creation and management of databases like Azure SQL.
• Develop, publish, and support Tableau dashboards.
• Maintain and support production systems using SQL, Python, and Spark.
• Provide technical guidance to lead a team of Python developers and ensure timely project delivery.
• Enhance and reprogram existing databases to improve functionality.
• Work on both frontend and backend web-based solutions, utilizing advanced SQL/NoSQL databases.
• Contribute to open-source projects to enhance skills and knowledge.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• Minimum 5 years of experience in Python programming with a focus on backend application development.
• Strong analytical, troubleshooting, and problem-solving skills.
• Proficiency in Python frameworks like Django, Flask, or Pyramid.
• Hands-on experience with SQL and relational databases like MySQL and PostgreSQL.
• Familiarity with front-end technologies such as JavaScript, HTML5, and CSS3.
• Knowledge of scripting languages like Perl, Shell, or Python for automation and enhancement of scripts.
• Experience working in Agile teams and implementing continuous integration and deployment practices.
• Strong interpersonal skills for effective relationship development and team collaboration.
• Ability to write SQL queries, investigate database logs, and perform performance tuning.
• Understanding of code versioning tools like Git and scripting languages like Python and Perl.

Years of experience: 5 to 7 Years

Location:

• Responsibilities:

• Assisting clients in building, implementing, and supporting end-to-end data solutions.

• Guiding and reviewing Quality Assurance team in testing cases/steps.

• Working with development teams to ensure data model reflects requirements accurately.

• Validating business data objects for accuracy and completeness.

• Developing and maintaining conceptual, logical, and physical data models with metadata.

• Writing complex SQL queries for data extraction and validation purposes.

• Actively participating in metadata definition and management processes.

• Requirements:

• Bachelor's/Master's degree in a relevant field.

• 10 to 14 years of experience in data modeling with expertise in MySQL, Oracle, SQL Server.

• Proficiency in data modeling, ETL processes, data warehousing.

• Familiarity with tools like PowerDesigner, or similar relevant skill sets.

• Strong programming skills in Python, SQL, and other scripting languages.

• Experience in cloud platforms like Azure, AWS, or GCP preferred.

• Knowledge of data engineering tools like Databricks, Azure, and Delta Lake.

• Ability to write SQL queries, stored procedures, functions, and triggers.

• Experience with SQL and NoSQL databases, and data ingestion tools.

• Familiarity with data warehouse and business intelligence solutions.

• Skills:

• Proficient in SQL, advanced Excel, and core Python.

• Strong understanding of distributed SQL querying and REST APIs.

• Experience in automation using Python and object-oriented concepts.

• Knowledge of performance tuning tools and concepts for SQL Server.

• Hands-on experience with data integration tools and technologies.

• Excellent problem-solving skills and a collaborative mindset.

• Solid expertise in database technologies and scripting languages.

Years of experience: 10 to 14 Years

Location:

Overview

We are seeking an experienced Senior Architect with strong hands-on expertise in desktop application development using Java swing and deep proficiency across the Java ecosystem. The ideal candidate will have significant experience designing, developing, and optimizing complex desktop-based systems, integrating SQL and NoSQL databases, building data visualizations, and working with JavaScript engines for backend transformations. This role also requires architectural decision-making, performance tuning, and ensuring best practices throughout the development lifecycle.

Key Responsibilities

• Design and Architect scalable, high-performance desktop-based applications using Java and associated technologies.
• Develop new features, enhance existing modules, and optimize application performance.
• Implement robust session management, data security, and reliable client-side handling for desktop applications.
• Work extensively with UI technologies such as Swing and Jide to build feature-rich user interfaces.
• Integrate, configure, and maintain SQL and NoSQL database drivers, including driver upgrades and compatibility management.
• Work with relational and cloud data warehouse technologies including Snowflake, Amazon Redshift, and Google BigQuery.
• Develop, optimize, and extend JDBC-based data access layers, ensuring high performance and reliability.
• Work with JavaScript engines (Spidermonkey and Rhino) for data transformations, business logic, and MongoDB-related scripting changes (ES5/ES6).
• Create and integrate data visualizations within the desktop application for analytical insights and reporting.
• Apply AI prompt engineering techniques to automate tasks, enhance workflows, and integrate AI-driven features.
• Evaluate and integrate APIs, frameworks, and new technology components into the system architecture.
• Collaborate with cross-functional teams—Product, QA, DevOps—ensuring high-quality deliverables.
• Provide mentorship, technical guidance, and architectural direction to development teams.
• Work efficiently on macOS and Ubuntu environments with full command-line, tooling, and environment setup expertise.
• Maintain high-quality documentation for design, architecture, APIs, and system configurations.

Required Skills & Qualifications

Core Technical Expertise

• Strong expertise in Java (Core & Advanced) with 10+ years of professional hands-on development experience.
• Expert-level proficiency in:
• JDBC
• Swing
• Jide components
• IntelliJ IDEA (primary editor)
• JavaScript (ES5/ES6)
• Deep understanding and implementation of MVC pattern in desktop based application.
• Strong experience with:
• SQL databases (MySQL, PostgreSQL, Oracle)
• NoSQL databases (MongoDB)
• Cloud Data Warehouses: Snowflake, Amazon Redshift, Google BigQuery
• Proven experience managing and upgrading SQL/NoSQL DB drivers, Java drivers, and associated APIs/frameworks.
• Solid understanding of desktop-based application development (not just web).
• Skilled in session management, multi-threading, concurrency, and desktop application architecture.
• Experience in data visualization libraries, frameworks, or custom visualization components.
• AI Prompt Engineering Knowledge—ability to craft, optimize, and integrate prompts for AI-driven processes, automation, and intelligent features.
• Deep experience with Spidermonkey and Rhino JavaScript engines for backend/MongoDB scripting tasks.

Operating Systems & Tools

• Expert-level proficiency with macOS and Ubuntu/Linux environments.
• Strong command of development tools, shell scripting, and environment configuration.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to mentor junior developers and lead technical discussions.
• Ownership mindset with a strong focus on delivering high-quality, maintainable solutions.

Preferred Qualifications (Optional)

• Experience with performance tuning and profiling tools.
• Knowledge of build tools like Maven or Gradle.
• Understanding of modern architectural patterns (MVC, MVVM, microservices for backend integration).
• Familiarity with CI/CD, version control (SVN, GIT), and automated testing frameworks

Years of experience: 10 to 20 Years

Location:

Role Summary

We are seeking an experienced AWS DevOps & MLOps Engineer with 6–8 years of expertise in cloud infrastructure, DevOps automation, machine learning operations, and AI platform engineering. The ideal candidate will have hands-on experience with AWS services, Amazon SageMaker, AgentCore, CI/CD pipelines, infrastructure automation, model deployment, monitoring, and operationalizing AI/ML workloads. The role requires collaboration with data scientists, ML engineers, software developers, and cloud architects to build scalable, secure, and production-ready AI platforms.

Key Responsibilities

• Design, implement, and manage cloud-native DevOps and MLOps solutions on AWS.
• Build and maintain CI/CD pipelines for application and machine learning model deployment.
• Develop and manage end-to-end ML lifecycle workflows using Amazon SageMaker.
• Deploy, monitor, and optimize machine learning models in production environments.
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or similar tools.
• Automate deployment, monitoring, and scaling of AI/ML applications.
• Configure and manage containerized workloads using Docker and Kubernetes.
• Support AgentCore-based AI agent deployments and orchestration workflows.
• Establish model versioning, governance, monitoring, and retraining processes.
• Ensure cloud security, compliance, and operational best practices.
• Collaborate with cross-functional teams to improve platform reliability and scalability.
• Monitor system performance and troubleshoot infrastructure, deployment, and model-related issues.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• 6–8 years of experience in DevOps, Cloud Engineering, or MLOps.
• Strong hands-on experience with AWS cloud services.
• Experience implementing CI/CD pipelines and infrastructure automation.
• Experience supporting production machine learning workloads.
• Strong scripting and automation skills.
• Experience working in Agile/Scrum environments.
• Excellent troubleshooting, communication, and stakeholder management skills.

Preferred Skills

• AWS Certified DevOps Engineer, Solutions Architect, Machine Learning Specialty, or related certifications.
• Experience with Generative AI, LLMOps, and AI Agent frameworks.
• Experience with AWS Bedrock, AgentCore, and AI agent orchestration.
• Knowledge of ML model governance, responsible AI, and observability frameworks.
• Experience with distributed ML training and inference optimization.
• Exposure to DataOps and modern data engineering platforms.
• Familiarity with vector databases and Retrieval-Augmented Generation (RAG) architectures.
• Experience working on enterprise-scale AI transformation programs

Years of experience: 6 to 8 Years

Location:

Role Overview:

We are looking for a Senior AI Production Engineer with strong expertise in LLMs, RAG architectures, AI model deployment, observability, and MLOps to build and manage scalable AI solutions in production environments. The role involves designing AI/ML pipelines, optimizing production AI systems, and ensuring reliability, scalability, and operational efficiency across enterprise AI platforms.

Key Responsibilities:

• Design and develop AI / Machine Learning models, including LLM pipelines, RAG architectures, agent-based systems, and vector database integrations
• Optimize latency and performance across RAG workflows and model calls
• Deploy AI models into production using MLOps frameworks and CI/CD pipelines
• Improve model scalability, reliability, and operational efficiency
• Perform incident response and troubleshooting for AI systems, including:
• Slow RAG performance
• Poor retrieval quality
• API rate-limit issues
• Vector store indexing failures
• Agent infinite loops
• Diagnose and manage AI cost optimization issues including prompt inefficiencies and workload misconfigurations
• Collaborate with Developers, DevOps, and application teams to build AI-enabled systems

Required Skills & Experience:

• Strong understanding of LLMs, RAG patterns, and agent frameworks
• Solid experience with Python
• Experience with observability tools, traces, logs, and metrics (OpenTelemetry preferred)
• Hands-on experience with FastAPI and Gunicorn containerized deployments
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks
• Knowledge of vector databases such as Pinecone, Chroma, AWS Knowledgebase
• Experience with AWS cloud platform
• Experience with CI/CD pipelines and MLOps practices
• Ability to handle OpenAI outages and fallback strategies

Years of experience: 8 Years

Location:

Role Summary

We are seeking a Power Pages Developer with 5+ years of experience in designing, developing, and maintaining customer-facing portal solutions using Microsoft Power Pages and the Power Platform ecosystem. The ideal candidate will have hands-on experience building responsive portal applications, configuring Dataverse, implementing security models, and integrating with Dynamics 365 and external systems. The role requires strong front-end development skills combined with Power Platform expertise to deliver secure and scalable digital experiences.

Key Responsibilities

• Design, develop, and maintain Power Pages websites and portal solutions.
• Create and customize web pages, templates, forms, lists, and content snippets.
• Develop dynamic portal experiences using Liquid templates.
• Configure Dataverse tables, forms, views, and relationships for portal access.
• Build custom functionality using JavaScript, HTML, CSS, and Liquid.
• Implement portal authentication, authorization, and role-based security models.
• Integrate Power Pages with Dynamics 365, Power Apps, Power Automate, and external applications.
• Develop and consume REST APIs for system integrations.
• Troubleshoot portal functionality, performance, and security issues.
• Collaborate with business analysts, designers, and developers to deliver user-centric solutions.
• Support deployment and release activities following established development processes.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of software development experience.
• Hands-on experience with Microsoft Power Pages development.
• Strong understanding of Dataverse and Power Platform components.
• Experience with web technologies including JavaScript, HTML5, CSS3, and REST APIs.
• Knowledge of portal security and authentication concepts.
• Experience working within Agile/Scrum delivery environments.

Preferred Skills

• Experience with Dynamics 365 CE integrations.
• Familiarity with Azure services and cloud-based integrations.
• Knowledge of Power Automate and Power Apps.
• Experience implementing responsive and accessible web designs.
• Microsoft Power Platform certifications.
• Exposure to Azure DevOps and CI/CD processes.

Years of experience: 5 to 8 Years

Location:

Role Overview:

We are seeking an experienced QA Automation Engineer with strong expertise in Python and Playwright to design, develop, and maintain scalable automation frameworks. The role involves validating modern web applications, enhancing test automation coverage, and ensuring high-quality software delivery across enterprise systems.

Key Responsibilities:

• Design, develop, and maintain automation test frameworks using Python and Playwright
• Build and execute functional, regression, integration, and end-to-end automation tests
• Work with multiple testing frameworks and automation tools
• Collaborate with developers, QA teams, and stakeholders to ensure quality delivery
• Perform debugging, defect analysis, and root cause identification
• Integrate automation suites into CI/CD pipelines
• Ensure test coverage, reliability, and reporting standards
• Contribute to continuous improvement of QA processes and automation strategies

Required Skills & Experience:

1. 8–10 years of total experience in QA and Test Automation
2. Around 5 years of hands-on experience in Python (mandatory)
3. Strong hands-on experience with Playwright
4. Experience working with various testing frameworks
5. Strong understanding of automation methodologies and QA processes
6. Experience with web application testing and API validation
7. Good analytical and troubleshooting skills

Years of experience: 8 to 10 Years

Location:

Our industry-recognized Adobe engineering team is looking for an exceptional AEM Principal Architect who combines deep technical expertise with strong consulting acumen. This role is ideal for someone who thrives in a client-facing environment, is passionate about delivering high-impact solutions, and enjoys mentoring teams while influencing strategy at an enterprise level.

As an AEM Principal Architect, you will be at the forefront of driving technical vision and business value for clients' customer experience initiatives, working cross-functionally to identify opportunities, develop strategic roadmaps, and implement innovative solutions that enhance customer satisfaction, loyalty, and advocacy. You will lead mission-critical Adobe Experience Manager (AEM) projects, guide multi-disciplinary teams, and collaborate directly with client stakeholders to uncover opportunities for innovation, efficiency, and long-term growth. This is a strategic role that blends architecture, leadership, and consulting, with a commitment to potential monthly travel to client sites to build relationships and deliver results.

You will work as a strategic thinker, bringing a deep understanding of digital experience principles, the Adobe stack, and its emerging capabilities, particularly around AI.

Role and Responsibilities

Client Consulting & Strategic Engagement

•Act as a trusted advisor to clients, shaping their digital strategies and ensuring AEM solutions align with business objectives

•Leverage the latest AI tooling to accelerate and improve delivery

•Identify and communicate opportunities to drive measurable business value through AEM and related technologies

•Travel to client locations as often as once per month to foster relationships, lead workshops, and provide strategic consultation

•Guide clients through technical discovery, roadmapping, and solution design with a consultative mindset

Architecture & Delivery Leadership

•Architect and lead the development of robust, scalable AEM platforms using AEM Cloud Service or AEM 6.5

•Oversee and guide the technical discovery, backlog planning, and solution execution phases

•Serve as technical subject matter expert (SME) across multiple projects, supporting project architects and development leads as needed

•Ensure engineering excellence and consistency across projects by establishing tools, standards, and practices for delivery success

•Write and review clean, efficient, testable code, and provide actionable feedback through peer reviews

Team Mentorship & Practice Advancement

•Mentor and develop senior engineers and architects, fostering a collaborative learning culture

•Contribute to internal knowledge-sharing initiatives and drive innovation across the engineering practice

•Lead initiatives to develop reusable assets and intellectual property (IP) that give the organization a competitive edge

Preferred Qualifications

•15+ years of progressive experience in digital transformation, management consulting, or a related role, with a strong focus on customer-centricity, including demonstrable experience in AEM and a proven track record of activating and leveraging the broader Adobe Experience Cloud (e.g., AEM, Analytics, Target)

•Hands-on AEM development experience, with a strong foundation in Java, Sling, OSGi, JCR, and Apache Web Server

•5+ years of experience leading AEM architecture and delivery teams in a client-facing consulting environment

•Proven track record of launching complex, enterprise-level platforms using AEM Cloud Service or AEM 6.5

•Demonstrated experience integrating AEM with third-party systems (Salesforce, MuleSoft, Commerce, etc.)

•Deep understanding of system architecture, including high availability, disaster recovery, caching, CDN, and persistence layers

•Exceptional communication and interpersonal skills, with the ability to engage both executive stakeholders and engineering teams

•Strong analytical and problem-solving skills, with the ability to translate strategy and data into actionable insights that inform innovative digital solutions and platform optimization strategies

•Excellent communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across front-office functions to drive acquisition and retention, articulating the value of Adobe, platform innovation, and strategic architecture roadmaps

•Familiarity with Agile development methodologies (Scrum, Kanban) and test-driven development practices

•Degree in Computer Science, Engineering, or equivalent practical experience (bootcamp or self-taught candidates welcome)

Who You Are

•A consultative technologist with a strategic mindset and the ability to translate complex business needs into scalable technical solutions

•A natural leader and mentor who thrives on developing talent and fostering technical excellence

•A collaborative communicator who is equally comfortable in code reviews and C-suite presentations

•Someone who is excited by travel and relationship-building as part of delivering lasting client impact

Years of experience: 12 to 18 Years

Location:

Role Summary

We are looking for an experienced Java Developer with 5+ years of hands-on expertise in designing, developing, and maintaining scalable enterprise applications. The ideal candidate should possess strong backend development experience using Java and modern frameworks, with the ability to build robust, secure, and high-performing applications. The role requires collaboration with cross-functional teams to deliver innovative solutions while adhering to best practices in software development.

Key Responsibilities

• Design, develop, test, and maintain enterprise-grade Java applications.
• Develop scalable Microservices using Spring Boot and related technologies.
• Build and integrate RESTful APIs with internal and external systems.
• Participate in application architecture, design discussions, and technical decision-making.
• Write clean, maintainable, and efficient code following coding standards and best practices.
• Perform code reviews and contribute to continuous improvement initiatives.
• Troubleshoot, debug, and resolve production issues in a timely manner.
• Collaborate with product owners, business analysts, QA teams, and other stakeholders throughout the software development lifecycle.
• Optimize application performance, scalability, and reliability.
• Contribute to CI/CD implementation and deployment automation.
• Stay updated with emerging technologies and recommend improvements to existing systems.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 5 years of experience in Java application development.
• Strong understanding of Object-Oriented Programming (OOP), Design Patterns, and Software Engineering principles.
• Experience working in Agile/Scrum environments.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Preferred Skills

• Experience with Cloud Platforms such as AWS, Azure, or GCP.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Experience with event-driven architectures and messaging systems such as Kafka or RabbitMQ.
• Familiarity with NoSQL databases such as MongoDB.
• Exposure to DevOps practices and CI/CD pipelines.
• Experience working on high-volume, distributed enterprise applications.

Years of experience: 5 Years

Location:

Responsibilities:

• Design, integrate, test, and deploy system architecture solutions utilizing Linux, Python, Bash, Ansible, and other relevant technologies.
• Implement Agile and DevOps methodologies concepts for efficient project delivery.
• Develop software applications with a focus on core Python and asynchronous programming.
• Collaborate with teams to create data science solutions and machine learning models using Python and cloud technologies.
• Write automation scripts using languages like Perl, Python, Groovy, and Java for CI/CD processes.
• Architect high-volume, low-latency Java-based applications and maintain them.
• Provide technical support for system installation, configuration, and maintenance.

Requirements:

• Bachelor’s degree in Computer Science or related field.
• 6 to 9 years of experience in software development with expertise in Linux, Python, and relevant technologies.
• Strong knowledge of scripting languages, system architecture, and SDLC methodologies.
• Experience in working with high-performing teams using Agile/Scrum methodologies.
• Proficiency in operating systems like Unix/Linux/Windows and database systems.
• Excellent coding skills in Python, Java, or similar languages.
• Familiarity with cloud technologies, data ingestion tools, and web application development.

Skills:

• Linux, Python, Bash, Ansible, DevOps, Agile methodologies, Java, SQL, Perl, Groovy.
• System architecture, SDLC, CI/CD automation, machine learning, data science.
• Cloud technologies, scripting languages, Java frameworks, database management.

Years of experience: 6 to 9 Years

Location:

• Responsibilities:

• Provide technical guidance and lead a team of Python developers to ensure timely delivery.

• Develop and implement incident management processes and procedures using Snowflake.

• Facilitate live sessions on various Data Science topics for learners.

• Write robust code in Python, Java, and R.

• Build data ingestion tools using Python to extract data from relational databases and external APIs.

• Requirements:

• Bachelor's or Master's degree in Computer Science or a related field.

• 3-5 years of experience in software development, with a focus on Python.

• Proficiency in AI/ML, Playwright, Python, Jenkins, TypeScript, Snowflake, and UI testing.

• Strong experience in web services automation and working with JSON data.

• Familiarity with tools like Jupyter Notebook and

Years of experience: 3 to 5 Years

Location:

• Responsibilities:

• Develop, update, and maintain quality testing standards and procedures.

• Design, develop, and execute manual/automated test scripts.

• Participate in the coordination and execution of release testing.

• Create and execute manual test cases/scenarios, performing various tests such as functional, integration, regression, and performance testing.

• Prepare and implement quality assurance policies and procedures.

• Analyze business requirements and design documents to formulate and develop test plans, test scripts (both manual and automated), and test cases.

• Prepare defect status reports and daily/weekly status reports.

• Collaborate with Development and Information Technology groups to translate performance specifications into effective test designs and test cases.

• Requirements:

• Bachelor's degree in Computer Science or related field.

• 6-9 years of experience in QA with solid expertise in Puppet Jenkins.

• Strong command of JavaScript and TypeScript.

• Experience with automated testing tools such as Selenium, Protractor, Cypress.

• Knowledge of web technologies including HTML, CSS, and JavaScript.

• Familiarity with API web services.

• Experience with Jenkins or similar CI/CD tools.

• Strong understanding of full SDLC, QA Testing, UAT, and UI/UX concepts.

• Ability to design, develop, test, and debug test cases, scripts, plans, and strategy documents.

• Proficiency in manual testing frameworks and automation tools.

• Experience with performance testing tools and practices.

• Familiarity with modern programming languages and frameworks such as React, Node.js, and Angular.

• Strong technical background with a focus on QA and Java.

• Excellent organizational and time management skills.

• Skills:

• Proficiency in JavaScript, HTML5, CSS, and related front-end languages.

• Strong knowledge of JavaScript scripting language.

• Hands-on experience with testing tools like Selenium WebDriver and Maven.

• Experience in creating highly performant TypeScript code and diagnosing performance bottlenecks.

• Understanding of CI/CD processes and tools like Kubernetes and Jenkins.

• Comfortable working with cloud technologies such as AWS and Azure.

• Ability to build unit and integration test suites for JavaScript codebases.

• Knowledge of API testing tools like Postman and Apigee.

• Familiarity with backend technologies like Node.js and databases(SQL).

Years of experience: 6 to 9 Years

Location:

Why This Role?

Are you a Senior AI leader who thrives at the intersection of strategy, technology, and client impact? We're looking for someone who can turn cutting-edge AI capabilities into real business outcomes — driving revenue, transforming delivery, and enabling teams to win bigger and smarter.

In this role, you'll own the AI growth agenda across client engagement, presales, solution architecture, and delivery transformation. Your mandate: convert AI into revenue, sharpen delivery efficiency, and arm market-facing teams with differentiated offerings.

You'll partner with Client Partners, Business Development, delivery leaders, and practice teams to scale AI adoption across accounts — building offerings that clients want and competitors can't easily replicate.

What You'll Do

1. 1. Client Engagement & Problem Solving

•Engage directly with enterprise clients to diagnose business challenges and shape AI-led transformation opportunities

•Translate complex client needs into practical, scalable AI solutions that fit real-world IT services delivery

•Become the go-to advisor for client leadership on AI adoption, roadmap design, and measurable value realization

1. 2. AI-Led Revenue Growth & Presales

•Own AI-led revenue growth by embedding AI into existing accounts and new deal pursuits

•Co-create compelling AI proposals, solution architectures, and business cases alongside Client Partner and BD teams

•Build and scale reusable AI offerings, accelerators, and industry-specific solutions that become competitive differentiators

•Shape deals, lead client presentations, and design commercial constructs, including innovative pricing models

1. 3. AI in Delivery & Productivity Transformation

•Inject AI into delivery lifecycles to boost productivity, cut costs, and raise quality bars

•Identify and scale high-impact use cases across automation, GenAI, service desk, application development, testing, and operations

•Champion adoption of AI tools and platforms within delivery teams to compress cycle times

•Establish best practices, reusable assets, and governance frameworks that make AI in delivery repeatable and scalable

1. 4. Enabling Client Partner & BD Teams

•Equip Client Partner and BD teams with AI playbooks, GTM strategies, and ready-to-deploy use case libraries

•Run workshops and training that sharpen AI positioning, storytelling, and solution selling

•Translate AI complexity into clear business outcomes and client value propositions

•Co-build a robust AI pipeline across key accounts

1. 5. Program Leadership & Execution

•Lead AI workstreams within large-scale transformation programs and managed services engagements

•Drive alignment across solutioning, architecture, and execution, keeping everyone pulling in the same direction

•Take PoCs from concept to scaled deployment, ensuring measurable business impact and client delight

•Orchestrate cross-functional teams of architects, data scientists, and engineers to deliver outcomes

1. 6. Compliance & Delivery Governance

•Maintain discipline on organizational processes, including timesheets, utilization, learning, and audit requirements

•Drive delivery governance, reporting, and compliance to the highest standards

•Ensure every AI initiative aligns with enterprise risk, security, and compliance frameworks

What You Bring

Education

Any undergraduate or postgraduate degree; MBA or equivalent preferred

Experience

1. 15–25 years in AI/ML, GenAI, and enterprise IT services delivery, with a proven track record in AI-led deal support, presales, and revenue generation

Skills & Expertise

•Deep expertise in AI/ML, GenAI, and enterprise IT services delivery models

•Track record of turning AI opportunities into closed deals and revenue

•Experience embedding AI within application services, infrastructure, or digital transformation programs

•Ability to connect the dots between business problems, technology architecture, and delivery execution

•Strong stakeholder management, equally comfortable with C-suite clients and internal sales teams

•A builder's mindset — creating scalable, reusable solutions, not one-off projects

Years of experience: 15 to 25 Years

Location:

• Responsibilities:

• Develop and maintain Java-based applications with customized flows and frameworks.

• Implement ETL testing procedures to ensure quality and reliability.

• Create and manage automated testing platforms for unit tests.

• Enhance and customize existing Java/J2EE applications.

• Collaborate with cross-functional teams to develop new features and functionalities.

• Requirements:

• 10-12 years of experience in Java and Python development.

• Proficiency in ETL testing and working with relevant technologies.

• Strong understanding of Java frameworks such as Spring, Hibernate, and Swing.

• Experience with Unix, Oracle, web logic, and Apache.

• Knowledge of database systems like MySQL and Oracle.

• Solid grasp of object-oriented programming and design patterns.

• Skills:

• Proficient in Java, Python, SQL, and scripting languages.

• Hands-on experience with automation frameworks like Selenium.

• Familiarity with front-end technologies like JavaScript, HTML, and CSS.

• Experience in developing REST services and working with web applications.

• Strong problem-solving skills and a collaborative mindset.

• Additional Skillsets (based on reference sentences):

• Exposure to UI frameworks like React.js and Angular.

• Knowledge of Big Data technologies such as Hadoop and Spark.

• Expertise in building high-performance systems using Java frameworks.

• Familiarity with cloud services like AWS and Azure.

Years of experience: 10 to 12 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:

• Responsibilities:

• Develop backend components to improve responsiveness and overall performance.

• Design and implement low-latency, high-availability, and performance-efficient applications.

• Responsible for the development of new features and enhancements to improve the end-to-end client proposition.

• Create dynamic software applications using Python and relevant frameworks.

• Collaborate with the Mobile Delivery team for designing, documenting, developing, and deploying applications.

• Develop automation scripts and assist in day-to-day team activities.

• Write scalable code using Python and conduct performance tuning and improvement.

• Design, build, and maintain complex, scalable, and distributed software systems.

• Develop and deliver complete web applications using Python, Django, JavaScript, HTML5, CSS3, and RESTful APIs.

• Requirements:

• 1-2 years of experience as a Python Developer.

• Proficiency in Python concepts such as lists, strings, dictionaries, etc.

• Exposure to Django framework and Python-related frameworks like Flask.

• Strong experience in core Python (2.X/3.X) and standard libraries.

• Good understanding of threading limitations in Python and multi-process architecture.

• Experience in data handling, processing, and coding skills in SQL, Python/R.

• Familiarity with Unix-like operating systems and Git version control.

• Excellent communication skills and client-facing experience.

• Ability to write clean, maintainable, and efficient code.

• Bachelor's degree in Computer Science, Computer Engineering, or related field.

• Skills:

• Proficient in SQL, advanced Excel, and scripting languages like Python/Perl.

• Experience with developing automation test cases and using Python for data manipulation.

• Knowledge of backend development, AWS microservices, and server-side templating languages.

• Strong computer science fundamentals and understanding of object-oriented design.

• Hands-on experience with Python libraries like Pandas, NumPy, Seaborn, Matplotlib, etc.

• Familiarity with Docker, Kubernetes, and frontend technologies like JavaScript, HTML5, CSS3.

• Experience with machine learning, data science, and Big Data technologies is a plus.

Years of experience: 1 to 2 Years

Location:

Role Summary

We are seeking an experienced Microsoft Dynamics 365 CRM Developer with 9–10 years of expertise in designing, developing, customizing, and implementing Dynamics 365 CRM solutions. The ideal candidate will possess strong technical knowledge of Dynamics 365 Customer Engagement (CE), Power Platform, CRM customization, integrations, and solution architecture. The role requires close collaboration with business stakeholders, functional consultants, architects, and development teams to deliver scalable and innovative CRM solutions.

Key Responsibilities

• Design, develop, customize, and support Microsoft Dynamics 365 CRM applications.
• Configure and customize Dynamics 365 entities, forms, views, dashboards, business rules, workflows, and business process flows.
• Develop custom plugins, custom workflow activities, JavaScript, and Power Automate solutions.
• Build and maintain integrations between Dynamics 365 and external applications using APIs, Azure services, and middleware platforms.
• Develop custom applications using Power Apps and extend CRM functionalities using Power Platform capabilities.
• Participate in solution design, technical architecture reviews, and estimation activities.
• Perform code reviews and ensure adherence to best practices and coding standards.
• Troubleshoot and resolve production issues while providing technical support.
• Collaborate with business analysts and functional consultants to translate business requirements into technical solutions.
• Support deployment activities and contribute to CI/CD implementation.
• Stay current with Microsoft Dynamics 365, Power Platform, and Azure advancements.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 9–10 years of experience in Microsoft Dynamics CRM / Dynamics 365 development.
• Strong experience in Dynamics 365 Customer Engagement (Sales, Customer Service, Marketing, or Field Service modules).
• Hands-on experience with CRM customization, configuration, and development.
• Strong understanding of CRM architecture, security models, and solution management.
• Experience working in Agile/Scrum development environments.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Microsoft Dynamics 365 certifications.
• Experience with Power Platform (Power Apps, Power Automate, Power BI).
• Knowledge of Azure Integration Services and Azure Functions.
• Experience with Dataverse and Common Data Model.
• Exposure to DevOps practices and Azure DevOps.
• Experience with enterprise CRM transformation projects.
• Familiarity with AI Builder and Copilot capabilities within Dynamics 365.
• Experience integrating Dynamics 365 with ERP systems and third-party applications.

Years of experience: 9 to 10 Years

Location:

• Responsibilities:

• Develop and execute ETL test scripts, scenarios, and cases to ensure quality.

• Analyze data using SQL queries for validating and verifying data quality.

• Collaborate with cross-functional teams to understand project objectives and requirements.

• Utilize tools like Excel, SQL, and Python for data analysis.

• Ensure efficient and well-written execution of Python code.

• Design, build, and maintain complex, scalable, and distributed software systems.

• Update and maintain ETL mapping sheets as needed.

• Define, design, develop, integrate, test, deploy, and troubleshoot applications.

• Build APIs using Java, Python, and other relevant languages.

• Requirements:

• 6 to 9 years of experience in QA with expertise in SQL, ETL, and relevant skill sets.

• Proficiency in SQL queries, stored procedures, functions, and triggers.

• Strong experience in web technologies like Java/J2EE.

• Hands-on experience in Java development, Spring, Hibernate, and microservices.

• Familiarity with cloud platforms like Azure, AWS, or GCP.

• Ability to write scripts in Python, Perl, Bash, or similar languages.

• Experience with UI automation, Selenium, API testing, and Appium.

• Knowledge of SQL/NoSQL databases, Docker/containers, and microservices architecture.

• Good understanding of Java architectural frameworks and design patterns.

• Strong debugging and issue resolution skills for Java and SQL.

• Prior experience with programming languages such as Python, Java, or Ruby.

Years of experience: 6 to 9 Years

Location:

Role Overview:

We are seeking a skilled Data Engineer with strong expertise in SQL and data migration to support enterprise data transformation and migration initiatives. The role involves designing and managing data pipelines, validating migrated datasets, and ensuring data quality and consistency across systems. Basic CRM knowledge will be an added advantage.

Key Responsibilities:

• Design, develop, and support data migration and data integration processes
• Develop and optimize SQL queries, stored procedures, and data transformations
• Perform data validation, reconciliation, and quality checks during migrations
• Work with business and technical teams to understand migration requirements
• Support ETL workflows and enterprise data platforms
• Troubleshoot and resolve data-related issues
• Ensure data accuracy, consistency, and governance standards
• Collaborate with stakeholders across development, QA, and business teams

Required Skills & Experience:

• Strong experience in Data Engineering and Data Migration
• Strong SQL expertise including query optimization and data analysis
• Experience working with large datasets and migration activities
• Understanding of ETL and data transformation processes
• Strong analytical and troubleshooting skills
• Experience with databases and enterprise data systems

Good to Have:

• Basic knowledge of CRM systems
• Exposure to cloud data platforms or modern data tools
• Experience with data warehousing concepts

Years of experience: 6 Years

Location:

Key Responsibilities

• Develop and maintain ETL/ELT pipelines for processing and transforming large datasets using BigQuery and Trino/Starburst.
• Integrate data sources into GCP, leveraging tools like Dataflow for batch/streaming workflows and Pub/Sub for event-driven architectures.
• Build and optimize Looker models and dashboards, incorporating Google Analytics data for comprehensive reporting.
• Collaborate on API development to expose data securely via RESTful or GraphQL interfaces.
• Implement data quality checks, monitoring, and alerting to ensure pipeline reliability.
• Assist in adopting tools like dbt for modular data transformations and Airflow for scheduling.
• Participate in code reviews, agile sprints, and troubleshooting production issues.
• Document processes and contribute to knowledge sharing within the team.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-5 years of hands-on experience in data engineering roles.
• Strong proficiency in SQL, Python, and GCP services (BigQuery, Cloud Storage, Dataflow).
• Experience with federated querying tools like Trino/Starburst and BI platforms like Looker.
• Familiarity with handling large datasets and basic API design principles.
• Ability to work collaboratively in a fast-paced, remote team environment.

Preferred Skills

• Exposure to orchestration tools (e.g., Airflow) or data modeling with dbt.
• Knowledge of streaming technologies (e.g., Kafka) or containerized deployments (Docker).
• Basic understanding of data governance and compliance standards.

Years of experience: 4 to 10 Years

Location:

• Responsibilities:

• Interacting with senior stakeholders and various departments to understand requirements and translate them for developers.

• Leading project re-engineering of workflow processes within CRM systems.

• Supporting the development team in the software build process through consultancy, documentation, and reviews.

• Assisting in the definition, documentation, and maintenance of data business definitions, standards, and quality rules.

• Creating and developing daily reports and application development implementation.

• Performing data and process analysis, swimlane/process diagramming, use cases, and sequence diagrams.

• Providing key support to the business to extract maximum value from the technology platform.

• Conducting requirement analysis and complete documentation for technically complex processes.

• Requirements:

• Minimum of 8 years of experience in business analysis with proven track record of effectiveness.

• Strong skills in Business Analytics, Salesforce Commerce, Direct-to-Consumer/Retail, or relevant skill sets.

• Excellent communication skills to collaborate with team members and stakeholders at all management levels.

• Experience in driving continuous improvement and innovation across teams.

• Proven experience in managing and resolving conflicts among stakeholders.

• Strong analytical and critical thinking skills with the ability to solve complex problems.

• Bachelor's degree in Engineering, Computer Science, or related fields; MBA preferred.

• Familiarity with technology stack and data landscape with the ability to learn new technologies quickly.

• Skills:

• Strong process analysis and re-engineering experience.

• Ability to visualize end solutions and drive design reviews and test cases.

• Experience in business process modeling, analysis, design, and documentation.

• Proficient in using basic software applications like Microsoft Word, Excel, PowerPoint, and internet email.

• Ability to mentor junior resources and create a conducive learning environment in the team.

Years of experience:

Location:

Job Description – DevOps Engineer (Java Preferred)

Role Overview

We are seeking a DevOps Engineer with strong engineering fundamentals and Java development expertise to support and enhance enterprise-grade Data Protection and Data Scanning platforms. The role combines platform engineering, CI/CD automation, cloud deployment, and application development, with a focus on scalability, security, and operational excellence.

The candidate will work across on-premise and cloud environments (OpenShift) to design, build, and support highly resilient DevOps pipelines and data scanning solutions.

Key Responsibilities

DevOps & Platform Engineering (Primary Focus)

• Design, implement, and manage CI/CD pipelines to enable automated, scalable deployments across environments
• Build and enhance DevOps frameworks for release management, monitoring, and operational control
• Automate infrastructure provisioning, deployment workflows, and operational tasks
• Drive containerized deployments using Kubernetes/OpenShift and integrate with cloud platforms
• Establish monitoring, alerting, and observability solutions (e.g., Splunk)
• Ensure compliance with enterprise change, incident, and release management processes
• Support production operations, including incident management and performance tuning
• Define and implement runbooks, SOPs, and operational governance frameworks

Application Development (Java-Focused)

• Develop and enhance backend services using Java / J2EE technologies
• Build integrations between security/data platforms and enterprise systems
• Contribute to design, code reviews, and architecture discussions
• Apply Spring Framework and modern development patterns
• Support test-driven development (TDD) and maintain high-quality code standards

Data Platform & Security Engineering

• Support data scanning platforms (e.g., BigID) and related integrations
• Evaluate and onboard new tools aligned to business and regulatory needs
• Implement solutions for structured and unstructured data scanning
• Ensure security, privacy, and control compliance in all platform implementations

Required Skills & Qualifications

Core DevOps Skills (Critical)

• Strong experience with CI/CD tools: Git, Jenkins, TeamCity
• Hands-on experience with containerization & orchestration: Docker, Kubernetes, OpenShift
• Experience in configuration management & automation: Ansible
• Expertise in cloud platforms: AWS / Azure / GCP
• Working knowledge of monitoring tools (e.g., Splunk)
• Strong understanding of DevOps methodologies and release processes

Preferred Skills

• Experience with BigID or similar data scanning tools
• Familiarity with Agile methodologies (Scrum ceremonies)
• Exposure to frontend technologies (HTML, JavaScript, CSS)
• Strong automation mindset with focus on engineering productivity

Experience

• Have 6 – 8 years’ experience managing enterprise-grade DevOps platforms in regulated environments
• Strong exposure to cloud-based platform engineering and deployment architectures

Key Competencies

• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management
• Ability to operate in complex, high-control enterprise environments
• Continuous learning and innovation mindset

What Makes This Role Unique

• Opportunity to work on large-scale data protection and scanning platforms
• Exposure to cutting-edge DevOps and cloud-native technologies
• Strong blend of engineering + operations + security domains
• High visibility role within enterprise risk and data protection programs

Years of experience: 6 to 8 Years

Location:

We are seeking an accomplished Senior Data Engineer with 5+ years of hands-on expertise in data warehousing, ETL development, and cloud platforms. The ideal candidate will be highly proficient in Snowflake and Databases in general.

We don't necessarily need cloud

Python/any programming language is good

Shell scripting is good to have

Should have worked on large Databases/Datawarehouses

- **Performance Optimization**: Continuously monitor and optimize ETL processes and data pipelines for maximum efficiency and reliability. 
- **Agile & DevOps Implementation**: Drive the adoption of Agile methodologies and DevOps best practices to enhance team efficiency and accelerate delivery cycles. 
- **Automation & Innovation**: Identify opportunities for automation throughout the data lifecycle and implement innovative solutions to streamline operations. 
- **Stakeholder Collaboration**: Work closely with business, analytics, and IT stakeholders to understand data requirements and deliver solutions that drive business value. 

Years of experience: 5 to 7 Years

Location:

About the role

We are looking for a Senior Java Developer with strong cloud expertise to join our engineering team. You will design and deliver scalable, cloud-native applications on AWS and/or Azure, working closely with cross-functional teams to build robust backend services and microservices architectures that meet enterprise-grade standards.

Key responsibilities

• Design, develop, and maintain scalable Java-based applications and microservices deployed on AWS / Azure cloud platforms.

• Architect and implement cloud-native solutions leveraging AWS services (EC2, S3, Lambda, RDS, SQS) and/or Azure equivalents (Azure Functions, Blob Storage, Service Bus, Azure SQL).

• Build and expose secure, well-documented RESTful APIs for consumption across internal and external systems.

• Design and develop reusable libraries and components for use across engineering teams.

• Implement and maintain CI/CD pipelines to automate build, testing, and deployment processes across environments.

• Write comprehensive unit, integration, and end-to-end tests to maintain high code quality and reliability.

• Collaborate with infrastructure and DevOps teams on containerisation (Docker / Kubernetes) and cloud infrastructure management.

• Contribute to and uphold engineering best practices, code reviews, and the software development lifecycle.

• Produce clear and concise technical documentation for systems, APIs, and architectural decisions.

What we're looking for

• 6+ years of hands-on Java development experience with a strong understanding of object-oriented design and software architecture.

• Proven experience building and deploying applications on AWS and/or Microsoft Azure cloud platforms.

• Strong proficiency in Spring Boot and microservices architecture.

• Experience with containerisation tools — Docker and Kubernetes.

• Solid knowledge of both relational (SQL) and non-relational (NoSQL) databases with Hibernate or equivalent ORM.

• Familiarity with CI/CD tooling such as Jenkins, GitLab CI, or Azure DevOps.

• Experience working in Linux environments and with build tools such as Maven or Gradle.

• Strong problem-solving skills and the ability to communicate technical concepts clearly to diverse stakeholders.

Nice to have

• AWS Certified Developer / Solutions Architect or Microsoft Azure Developer Associate certification.

• Experience with serverless architectures (AWS Lambda / Azure Functions).

• Exposure to event-driven architectures using Kafka, SQS, or Azure Service Bus.

• Knowledge of Infrastructure-as-Code tools such as Terraform or CloudFormation.

Years of experience: 6 Years

Location:

Role Overview

We are looking for a detail-oriented Business Analyst to support our Assurance function, focusing on cloud security hygiene and vulnerability reporting. This role is primarily non-technical but requires a foundational understanding of cloud environments and security vulnerabilities (e.g., CVEs) to effectively engage with stakeholders and drive remediation efforts.

Key Responsibilities

• Work extensively with daily/weekly reports related to cloud vulnerabilities and IoT security risks.
• Analyze data from multiple reporting sources to identify gaps in security posture and hygiene.
• Generate and maintain dashboards and status reports for internal teams and clients.
• Proactively follow up with clients and internal stakeholders on overdue vulnerability remediation items.
• Communicate findings, risks, and required actions clearly and effectively to non-technical audiences.
• Serve as a liaison between technical security teams and business/end users.
• Track and monitor cloud security hygiene across environments.
• Ensure timely closure of identified vulnerabilities, including CVEs and IoT-related issues.
• Support governance processes by maintaining accurate records of remediation status.
• Assist the assurance team in driving compliance with internal policies and standards.
• Contribute to audits, reviews, and continuous improvement initiatives.
• Provide ad-hoc support across team activities as required.

Required Skills & Qualifications

• Basic understanding of cloud environments (AWS/Azure/GCP preferred).
• Familiarity with vulnerabilities, CVEs, and security hygiene concepts.
• Experience working in a reporting-driven or governance/assurance environment.
• Strong verbal and written communication skills.
• Ability to interact with both technical and non-technical stakeholders.
• Confident in following up and driving actions with clients and internal teams.
• Ability to interpret reports and identify actionable insights.
• Strong attention to detail and data accuracy.
• Self-motivated and proactive in tracking deliverables.
• Team player willing to support broader team initiatives.
• Comfortable working in a structured, process-driven environment.

Preferred Qualifications

• Prior experience in cybersecurity, risk, or assurance functions.
• Knowledge of IoT security concepts.
• Experience using reporting tools (Excel, Power BI, dashboards, etc.).

Key Success Metrics

• Timely closure of vulnerability remediation items.
• Improvement in client response and compliance rates.
• Accuracy and effectiveness of reporting outputs.
• Stakeholder satisfaction and engagement.

Years of experience: 3 to 5 Years

Location:

Job Summary:

The Oracle NetSuite Architect will be responsible for the design, implementation, and
customization of NetSuite solutions to meet the needs of our organization. The architect will
work closely with stakeholders, business analysts, and developers to ensure the effective
integration and use of NetSuite within the enterprise.
Key Responsibilities:
Solution Design & Architecture:
• Lead the design and architecture of NetSuite solutions to meet business
requirements.
• Develop and maintain architectural blueprints and documentation.
• Ensure scalability, security, and performance of NetSuite solutions.
Implementation & Customization:
• Oversee and participate in the implementation and customization of NetSuite
modules.
• Develop custom scripts and workflows to extend NetSuite functionality.
• Configure and customize NetSuite fields, forms, records, and workflows.
Integration:
• Design and implement integrations between NetSuite and other enterprise
systems.
• Utilize APIs, SuiteTalk, and other tools to integrate third-party applications
with NetSuite.
Project Management:
• Lead and manage NetSuite-related projects, ensuring timely delivery and
within budget.
• Work with project managers to define project scope, objectives, and
deliverables.

Stakeholder Engagement:
• Collaborate with business stakeholders to gather and analyze requirements.
• Provide technical guidance and expertise to stakeholders and project teams.
• Conduct workshops and training sessions for end-users and technical teams.
• Should have experience handling global clients.
Technical Leadership:
• Mentor and guide junior developers and technical staff.
• Stay updated with the latest NetSuite features, best practices, and industry
trends.
• Participate in code reviews and ensure adherence to coding standards on Git-Lab
platform.

Qualifications:
·Education:
Bachelor’s degree in computer science, Information Systems, or a related
field.
·Experience:
8+ years of experience in NetSuite implementation and customization.
Proven experience as a solution architect in NetSuite ERP environments.
Experience with SuiteScript, SuiteFlow, SuiteTalk, and other NetSuite tools.
·Skills:
Strong understanding of NetSuite ERP modules, including financials, CRM,
eCommerce, and inventory.
Proficiency in JavaScript, XML, and other relevant programming languages.
Excellent problem-solving and analytical skills.
Strong project management skills and experience with Agile methodologies.
Excellent communication and interpersonal skills.
·Certifications:
NetSuite certifications (e.g., NetSuite Certified ERP Consultant, NetSuite
Suite Foundation) are highly desirable.

Working Conditions:
·This role may require occasional travel to client sites.
Flexible to accommodate global teams and clients. (3 PM to 12 Midnight or 4PM to 1 AM)
Experience: 8-12 years

Years of experience: 8 to 12 Years

Location:

Job Title – PowerBI Developer

Experience – 5 to 10 Yrs

Work Location – Bangalore, Hyderabad, Gurugram and Chennai

Mode of Employment – Contract (6 Months)

Required Skills

• At least 5 years of experience in implementing Power BI.
• Must possess a strong Database Query skill as well as understanding of Data warehousing concept.
• Familiarity with the broader Microsoft BI Stack (e.g., SSAS, SSRS, SSIS) and scripting languages like Python or R for advanced
• Should be able to connect multiple data sources , clean the data and prepare the data structure.

Telecom experience is preferred

Years of experience:

Location:

Position Summary

We are seeking a highly motivated and detail-oriented Tax Manager to oversee and manage the organization's direct and indirect tax compliance, statutory obligations, and regulatory requirements across India, while also supporting US, Canada and UK taxation matters. The ideal candidate will be a qualified Chartered Accountant (CA) with 6–8 years of relevant experience in taxation, compliance, and financial regulations. The role requires strong expertise in Indian tax laws, labor-related statutory compliances, and exposure to international taxation, particularly US tax regulations.

Key Responsibilities

Indian Taxation & Regulatory Compliance

• Manage end-to-end compliance related to Income Tax, GST, Professional Tax, TDS, and other applicable direct and indirect taxes.
• Ensure timely preparation, review, and filing of tax returns, tax audits, and statutory reports.
• Handle GST compliance including return filings, reconciliations, assessments, notices, refunds, and audits.
• Monitor changes in tax laws and regulations and assess their impact on business operations.
• Coordinate with tax consultants, auditors, and government authorities on tax matters and assessments.
• Ensure compliance with STPI regulations, including reporting requirements and regulatory submissions.
• Manage transfer pricing documentation and support international tax compliance where applicable.

Payroll & Statutory Compliance

• Oversee compliance related to Provident Fund (PF), Employees’ State Insurance (ESI), Professional Tax, Labor Welfare Fund, and other employment-related statutory requirements.
• Review payroll tax calculations and ensure accurate statutory deductions and remittances.
• Support internal teams on employee tax-related matters and regulatory requirements.

US Taxation Support

• Assist with US tax compliance processes, including federal and state tax requirements.
• Coordinate with external advisors and stakeholders for US tax filings and reporting.
• Support tax provisioning, reporting, and compliance activities related to US operations.
• Stay updated on relevant US tax regulations and ensure compliance with applicable requirements.

Audit & Financial Reporting

• Support statutory, internal, and tax audits by providing required documentation and explanations.
• Prepare tax reconciliations and assist in financial statement disclosures related to taxation.
• Identify tax risks and recommend mitigation strategies.
• Develop and maintain strong internal controls related to taxation and compliance processes.

Process Improvement & Advisory

• Drive tax process improvements and automation initiatives to enhance efficiency and accuracy.
• Provide tax advisory support to business teams on operational and strategic matters.
• Collaborate with finance, HR, legal, and business stakeholders to ensure regulatory compliance.

Qualifications & Experience

• Qualified Chartered Accountant (CA) from ICAI.
• 6–8 years of post-qualification experience in taxation, compliance, and finance functions.
• Experience working with multinational organizations, IT/ITES companies, or consulting firms is preferred.
• Exposure to both Indian and US taxation environments is highly desirable.

Required Technical Skills

• Strong knowledge of:
• Income Tax Act and related regulations
• Goods and Services Tax (GST)
• Tax Deducted at Source (TDS)
• Professional Tax
• STPI rules and compliance requirements
• Provident Fund (PF) and ESI regulations
• Corporate tax compliance and tax audits
• US taxation concepts and compliance processes
• Proficiency in ERP systems and Microsoft Excel.
• Experience working with tax compliance and reporting tools.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Ability to manage multiple priorities and meet strict deadlines.
• Strong communication and stakeholder management skills.
• High level of integrity, professionalism, and confidentiality.
• Ability to interpret complex tax regulations and provide practical business solutions.

Preferred Attributes

• Experience in a global or multinational business environment.
• Exposure to cross-border taxation and international compliance requirements.
• Ability to independently manage tax assessments, audits, and regulatory interactions.

Years of experience: 6 to 10 Years

Location:

Senior Business Systems Analyst – Salesforce (Lead to Cash)

Experience: 5–10 Years
Work Timings: 3:00 PM – 12:00 AM IST (Mandatory)

About the Role

We are looking for a highly motivated Senior Business Systems Analyst with strong Salesforce domain expertise to join our Lead-to-Cash team. The ideal candidate should have prior experience working as a Salesforce Business Analyst and/or Product Owner, with hands-on exposure to Salesforce Sales Cloud and Lead-to-Cash processes including CPQ and/or Salesforce Revenue Cloud Advanced (RCA).

This is a client-facing role requiring someone who can independently engage with business stakeholders, gather and analyze requirements, drive solution discussions, manage multiple workstreams simultaneously, and ensure successful delivery of business outcomes.

Key Responsibilities

• Work directly with business stakeholders to understand, analyze, and document business requirements
• Translate business requirements into well-defined user stories with clear acceptance criteria
• Lead backlog grooming, sprint planning, prioritization, and story refinement sessions
• Create business process flows, functional specifications, and solution documentation
• Collaborate closely with Salesforce architects, developers, QA teams, and Product Owners throughout the delivery lifecycle
• Drive UAT planning, execution, defect triage, and business sign-offs
• Demonstrate completed functionality to stakeholders and gather feedback
• Manage multiple initiatives simultaneously while ensuring timely delivery
• Identify risks, dependencies, and blockers proactively and communicate them effectively
• Act as the functional bridge between business and technical teams

Required Skills & Experience

• Strong experience working as a Salesforce Business Systems Analyst and/or Product Owner
• Hands-on understanding of Salesforce Sales Cloud
• Strong knowledge of Lead-to-Cash business processes
• Salesforce CPQ
• Salesforce Revenue Cloud Advanced (RCA)
• Quote-to-Cash / Order Management
• Good understanding of Salesforce configuration and platform capabilities

Expertise in:

• Requirement gathering
• Requirement analysis
• Business process mapping
• User story creation
• Functional documentation (BRDs/FSDs)
• Acceptance criteria definition
• Ability to convert complex business requirements into scalable Salesforce solutions
• Strong experience working in Agile/Scrum environments

• Ability to independently work with client stakeholders and business leadership
• Strong communication, facilitation, and presentation skills
• Experience managing cross-functional teams and driving discussions independently
• Comfortable handling multiple stakeholders and competing priorities

Preferred Qualifications

• Experience working on enterprise Salesforce implementations
• Prior experience in Product Owner or Functional Lead responsibilities
• Salesforce Administrator Certification preferred
• Salesforce Business Analyst or related Salesforce certifications are a plus
• Exposure to Agentforce or AI capabilities within Salesforce is an advantage

Desired Attributes

We are looking for someone who is:

• Highly accountable with a strong sense of ownership
• Able to work independently with minimal supervision
• Highly committed to delivery timelines and customer success
• Comfortable managing multiple priorities simultaneously
• A proactive problem solver with excellent analytical skills
• Strong at stakeholder management and executive communication
• A collaborative team player who can also independently drive discussions and decisions
• Flexible to work 3:00 PM – 12:00 AM IST on a regular basis

Nice to Have

• Experience with Salesforce Revenue Cloud Advanced (RCA)
• Experience in subscription or SaaS business models
• Understanding of Order Management and Billing processes
• Experience with JIRA, Azure DevOps, or similar Agile tools

Years of experience: 5 to 10 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:

Location:

About the Role
We are looking for an experienced Business Analyst with a strong background in automation and AI-driven projects. You will work at the intersection of business and technology — gathering and translating complex requirements, engaging stakeholders across all levels, and enabling the successful delivery of intelligent automation initiatives using Power Platform, UiPath, and emerging AI technologies.

Key Responsibilities

• Lead business analysis activities for automation and AI projects, from requirements gathering through to solution validation and delivery.
• Analyse complex business processes and data to identify automation opportunities and translate findings into clear, actionable insights and recommendations.
• Elicit, document, and manage business and functional requirements, ensuring alignment across cross-functional teams and stakeholders.
• Engage and collaborate with stakeholders at all levels — from operational teams to senior leadership — to understand needs, manage expectations, and drive consensus.
• Work closely with technical teams to evaluate and implement solutions using Power Platform (Power Apps, Power Automate), UiPath, and IDP tools.
• Support the integration of AI technologies into business workflows, assessing feasibility and impact on existing processes.
• Facilitate workshops, interviews, and discovery sessions to map current-state processes and define future-state requirements.
• Develop detailed process documentation including BRDs, user stories, process maps, and acceptance criteria.
• Align analysis activities with Agile project management methodologies, contributing to sprint planning, backlog grooming, and iterative delivery.
• Monitor and report on project progress, ensuring deliverables are met on time and within scope.

What We're Looking For

• Proven experience in business analysis with a strong focus on automation and process improvement projects.
• Excellent analytical skills with the ability to interpret complex data and translate it into practical, business-driven insights.
• Demonstrated ability to engage and manage stakeholders across all levels of an organisation, including senior leadership.
• Good understanding of Power Platform — including Power Apps and Power Automate — and hands-on exposure to UiPath and IDP solutions.
• Familiarity with AI technologies and their practical application within business process automation contexts.
• Strong written and verbal communication skills, with the ability to produce clear documentation and present findings confidently.
• Working knowledge of Agile project management methodologies (Scrum, Kanban) and experience contributing to Agile delivery teams.
• Ability to manage competing priorities and work effectively across multiple cross-functional projects simultaneously.

Nice to Have

• Experience with process mining or task mining tools (Celonis, UiPath Process Mining).
• Exposure to low-code / no-code platforms beyond Power Platform (e.g. Appian, ServiceNow).
• Understanding of AI / ML model outputs and their integration into business workflows.
• Business Analysis certification (CBAP, CCBA, or equivalent).
• Agile or Scrum certification (CSM, PMI-ACP, or equivalent).

Years of experience: 5 Years

Location:

Position Summary

We are seeking an experienced and results-oriented Director , Record to Report (R2R) to lead and manage end-to-end accounting, financial close, reporting, reconciliations, and compliance activities. The ideal candidate will possess strong accounting expertise, process leadership capabilities, and experience managing global finance operations within a multinational or shared services environment.

Director, R2R will be responsible for ensuring timely and accurate financial reporting, driving process excellence, strengthening internal controls, managing audits, and leading high-performing teams. This role requires a strong understanding of accounting standards, financial governance, and continuous improvement methodologies.

Key Responsibilities

Record to Report Operations

• Lead end-to-end Record to Report processes, including:
• General Ledger Accounting
• Journal Entry Processing
• Fixed Assets Accounting
• Intercompany Accounting
• Accruals and Provisions
• Balance Sheet Reconciliations
• Financial Close and Consolidation Activities
• Ensure timely completion of month-end, quarter-end, and year-end close activities.
• Review and approve journal entries, account reconciliations, and financial reporting schedules.
• Drive accuracy, completeness, and integrity of financial records.

Financial Reporting

• Oversee preparation and review of monthly, quarterly, and annual financial reports.
• Support management reporting, variance analysis, and financial performance reviews.
• Ensure compliance with corporate accounting policies and applicable accounting standards.
• Partner with FP&A and business stakeholders to provide meaningful financial insights.

Governance, Controls & Compliance

• Establish and maintain robust internal controls and financial governance frameworks.
• Ensure compliance with accounting standards, company policies, and regulatory requirements.
• Lead internal control initiatives where applicable.
• Support internal, statutory, and external audits and ensure timely resolution of audit observations.

Process Excellence & Transformation

• Drive continuous improvement initiatives across R2R processes.
• Identify opportunities for standardization, automation, and process optimization.
• Lead finance transformation projects, system enhancements, and ERP implementations.
• Leverage best practices, KPIs, and operational metrics to improve efficiency and service quality.

Stakeholder Management

• Act as a key partner to business leaders, finance teams, auditors, and global stakeholders.
• Collaborate with Accounts Payable, Accounts Receivable, FP&A, Tax, Treasury, and HR teams to ensure seamless financial operations.
• Manage escalations and provide resolution to complex accounting and reporting issues.

Team Leadership & Talent Development

• Lead, mentor, and develop a team of finance professionals.
• Establish performance goals and development plans for team members.
• Foster a culture of accountability, collaboration, continuous learning, and operational excellence.
• Drive employee engagement and succession planning initiatives.

Audit & Compliance Management

• Coordinate with internal and external auditors for financial and compliance audits.
• Ensure timely preparation and availability of audit documentation.
• Monitor adherence to accounting policies and regulatory requirements.
• Support risk assessments and implementation of corrective actions.

Qualifications & Experience

Required Qualifications

• Qualified Chartered Accountant (CA), CPA, ACCA, or equivalent professional accounting qualification.
• 8–12 years of progressive experience in accounting, financial reporting, and Record to Report operations.
• Minimum 3–5 years of people management experience leading finance teams.
• Experience working in a multinational private equity backed organization, Shared Services Center (SSC), Global Capability Center (GCC), or professional services environment.

Technical Skills

• Strong expertise in:
• General Ledger Accounting
• Financial Close Management
• Balance Sheet Reconciliations
• Fixed Assets Accounting
• Intercompany Accounting
• Financial Reporting and Consolidation
• Internal Controls and Compliance
• SOX Compliance (preferred)
• IFRS, US GAAP, or Ind AS
• Advanced proficiency in Microsoft Excel and financial reporting tools.
• Experience with ERP systems such as SAP, Oracle, NetSuite, Workday, Microsoft Dynamics, or similar platforms.

Key Competencies

• Strong leadership and people management skills.
• Excellent analytical and problem-solving abilities.
• Strong accounting and financial reporting acumen.
• Exceptional stakeholder management and communication skills.
• Ability to manage multiple priorities and meet tight deadlines.
• Continuous improvement and transformation mindset.
• Strong attention to detail and commitment to quality.
• Ability to influence cross-functional teams and drive change effectively.

Years of experience: 8 to 15 Years

Location:

Job Summary:

• 10+ years of experience as a operations Engineer and tester in a complex, enterprise-level development environment.

• 5+ years of experience in a DevOps/SRE role.

• 3+ years in identity and access management development.

• 3+ years in Incident and Problem Management Experience in a production

support setting

• Knowledge of identity federation: SAMO, OAuth 2.0, Liberty, OpenID

Connect, Authorisation policy management

• Experience with network, operating system, database and storage

support.

• Solid understanding of automated software application builds and

deployments.

• Experience in agile software development

• Experience working on critical, highly available production systems.

Hands-on experience with:

• Cloud and IAS development and Configuration management automation

• Docker Container orchestration

• Infrastructure automation using cloud services such as CFN and Terraform

Years of experience: 8 to 15 Years

Location:

Job Title - MS Fabric Engineer

Experience – 5 to 10 Yrs

Work Location – Bangalore, Hyderabad, Gurugram and Chennai

Mode of Employment – Contract (6 Months)

Role Overview

The MS Fabric Engineer will design, build, and manage the Microsoft Fabric (OneLake) data platform for a leading Telecom domain project. This role focuses on creating scalable data pipelines, enabling analytics, and supporting reporting across multiple customer segments.

Key Responsibilities

1. 1. Data Platform Development

• Develop and implement MS Fabric / OneLake architecture
• Build and manage Lakehouses, Warehouses, and Data Pipelines
• Develop scalable data models for analytics and reporting

1. 2. Data Integration

• Ingest data from GCP (BigQuery, Kafka pipelines) into MS Fabric
• Build robust pipelines using Azure Data Factory / Fabric pipelines
• Ensure data quality, lineage, and audit readiness

1. 3. Collaboration & Data Exposure

• Work with API (DxL/Node.js) teams to define data contracts
• Support structured datasets for downstream consumption
• Align data models with reporting and API requirements
• Validate data integrity with each of the source systems before downstream consumption.

1. 4. Reporting Enablement

• Enable Power BI datasets and semantic models
• Optimize performance (DirectLake / Import modes)
• Support reporting teams with data models and DAX guidance

1. 5. Data Modeling & Security

• Build segment-specific data models (SMB, Managed Services, etc.)
• Maintain consistent business logic and data definitions

1. 6. Platform Operations & Governance

• Ensure CI/CD deployments across environments (Dev → Prod)
• Implement and own monitoring, governance, and data quality checks

Core Skills & Experience

Must Have:

1. 4+ years in Data Engineering (MS Fabric / Azure Data Factory / Synapse)
2. Strong SQL and PySpark / Spark SQL skills
3. Experience with Data Lakes, Lakehouse architecture, and pipelines
4. Exposure to GCP (BigQuery integration)
5. Strong Power BI semantic modeling knowledge

Good to Have:

• Kafka or streaming data experience
• Node.js / API data exposure experience
• Microsoft Fabric or Azure certifications
• Experience in billing/telecom/data-heavy domains

Tech Stack

• Core: MS Fabric, OneLake, Symantic model in Power BI
• Data: GCP (BigQuery), Kafka
• Engineering: Azure Data Factory, PySpark, SQL, Delta Lake
• Integration: Node.js, REST APIs

Years of experience:

Location:

About the role

We are looking for a .NET Developer to join our engineering team. You will design, build, and maintain high-quality, scalable backend applications and APIs using C# and the .NET ecosystem, collaborating closely with cross-functional teams to deliver robust software solutions aligned with enterprise standards and business goals.

Key responsibilities

• Design, develop, and maintain scalable, high-performance applications using C# and .NET Core / .NET 6+.

• Build and expose secure, well-documented RESTful APIs and web services using ASP.NET Core.

• Design and implement microservices-based architectures aligned with enterprise patterns and best practices.

• Develop and maintain data access layers using Entity Framework Core and optimise SQL Server / NoSQL queries for performance.

• Implement and maintain CI/CD pipelines to automate build, testing, and deployment workflows.

• Write comprehensive unit, integration, and regression tests to ensure code reliability and quality.

• Participate actively in code reviews, technical discussions, and architectural decision-making.

• Contribute to and promote engineering best practices across the software development lifecycle.

• Produce clear and concise technical documentation for systems, APIs, and design decisions.

What we're looking for

• 6+ years of hands-on experience in .NET development with strong command of C# and object-oriented design principles.

• Deep expertise in ASP.NET Core, Web API development, and building production-grade RESTful services.

• Strong experience with Entity Framework Core and working with SQL Server or other relational databases.

• Proven experience designing and delivering microservices or distributed system architectures.

• Familiarity with cloud platforms — Microsoft Azure preferred; AWS experience also valued.

• Experience with containerisation (Docker) and orchestration (Kubernetes).

• Proficiency with version control (Git) and CI/CD tooling such as Azure DevOps, Jenkins, or GitLab CI.

• Strong analytical and problem-solving skills with the ability to communicate technical concepts to diverse audiences.

Nice to have

• Microsoft Certified: Azure Developer Associate or equivalent cloud certification.

• Experience with message brokers such as Azure Service Bus, RabbitMQ, or Kafka.

• Exposure to event-driven and CQRS / Event Sourcing architectural patterns.

• Knowledge of front-end technologies (React, Angular, or Blazor) for full-stack contribution.

• Experience with Infrastructure-as-Code tools such as Terraform or Azure Bicep.

Years of experience: 6 Years

Location:

About the Role

We are looking for a Senior QA Engineer with deep hands-on automation expertise to join our engineering team. You will own test strategy, build and maintain automation frameworks, and ensure the highest quality of software delivery across our products.

---

Key Responsibilities

- Design, develop, and maintain robust automated test suites using Selenium and Playwright

- Define and enforce QA standards, test strategies, and best practices across the SDLC

- Perform functional, regression, integration, and end-to-end testing

- Collaborate with developers, product managers, and DevOps to shift quality left

- Identify, document, and track defects through to resolution with clear reproducible steps

- Review requirements and user stories to derive comprehensive test coverage

- Contribute to CI/CD pipelines by integrating automated tests into build workflows

- Mentor junior QA team members on automation tools and testing principles

---

Required Skills & Experience

- 5–8 years of overall QA experience in software product environments

- 3+ years of hands-on experience with Selenium WebDriver (Java/Python/JS)

- 2+ years of hands-on experience with Playwright

- Strong foundation in QA fundamentals: test planning, test case design, boundary value analysis, equivalence partitioning, defect lifecycle

- Proven experience building and scaling automation frameworks from scratch (Page Object Model or similar)

- Experience with API testing tools such as Postman, RestAssured, or similar

- Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI)

- Proficiency with bug tracking tools (Jira, Azure DevOps)

- Good understanding of Agile/Scrum methodology

---

Nice to Have

- Experience with performance/load testing (JMeter, k6, Locust)

- Knowledge of mobile automation (Appium)

- Exposure to BDD frameworks (Cucumber, Behave)

- Experience with cloud-based test execution (BrowserStack, Sauce Labs)

---

What We're Looking For

- Someone who takes ownership of quality end-to-end, not just test execution

- Strong analytical and problem-solving skills

- Excellent communication — able to articulate test coverage and risk to non-technical stakeholders

- A team player who can work independently with minimal supervision

EST Shift hours

Years of experience: 5 to 8 Years

Location:

About the Role
We are seeking a highly experienced Senior Data Engineer (10–15 years) to design and scale AI-ready, compliant data platforms with a strong focus on Retrieval-Augmented Generation (RAG) architectures. This role is critical in enabling secure, governed, and explainable AI solutions within a regulated financial services environment, ensuring full compliance with data privacy, model governance, and audit requirements. The ideal candidate combines deep data engineering expertise with hands-on GenAI experience and a strong understanding of regulatory and risk frameworks.

Key Responsibilities

• Architect and build AI-ready, governed data platforms capable of supporting enterprise-scale RAG and LLM-based solutions.
• Design and implement end-to-end RAG pipelines — including data ingestion, chunking, embedding, vector storage, retrieval, and response generation — with governed data access controls.
• Build, optimise, and maintain ETL/ELT pipelines and distributed data systems to support AI and analytics use cases at scale.
• Deploy and manage vector databases (OpenSearch, Pinecone, FAISS, Chroma) and optimise retrieval strategies for accuracy, latency, and relevance.
• Architect and enforce data governance frameworks covering data classification, lineage, retention, and access control (RBAC / ABAC) in compliance with GDPR and UK Data Protection Act.
• Implement data masking, anonymisation, encryption, and key management strategies to meet regulatory and security requirements.
• Establish audit trails and compliance reporting mechanisms to support model governance and regulatory oversight in a financial services context.
• Collaborate with data scientists, ML engineers, and product teams to productionise GenAI solutions using LangChain, LlamaIndex, or equivalent frameworks.
• Design and manage data orchestration workflows using Apache Airflow and / or AWS Step Functions.
• Apply Responsible AI principles — fairness, transparency, and accountability — across AI data platform design and delivery.
• Contribute to Model Risk Management frameworks and support internal and external audit processes.
• Mentor and guide junior data engineers, promoting best practices in platform engineering and AI-ready data design.

What We're Looking For

1. 10–15 years of experience in Data Engineering or Platform Engineering, with a strong and demonstrable production track record.
2. 3+ years of hands-on experience in GenAI, RAG pipeline design, and LLM-based system development.
3. Proven experience delivering data solutions in regulated environments — Banking, Insurance, or equivalent financial services.
4. Deep AWS expertise across S3, Glue, Lambda, EMR, Redshift, Kinesis, and IAM.
5. Strong Python and SQL skills with extensive experience in data modelling and building scalable ETL/ELT pipelines.
6. Hands-on experience with vector databases and semantic search technologies for enterprise RAG use cases.
7. Must-have: strong knowledge of GDPR, UK Data Protection Act, and data governance frameworks including lineage, classification, and retention.
8. Experience implementing data masking, anonymisation, encryption, and audit trail solutions in regulated contexts.
9. Solid understanding of Model Risk Management and Responsible AI principles including fairness, transparency, and accountability.
10. Excellent communication skills with the ability to engage technical teams, risk, compliance, and senior stakeholders.

Nice to Have

• Experience with Graph RAG using Neo4j or AWS Neptune.
• Familiarity with agent orchestration frameworks for multi-step AI workflows.
• Knowledge of LLM evaluation frameworks and safety practices including guardrails and red-teaming.
• Exposure to customer-facing AI journeys such as chatbots and knowledge assistants.
• Experience with API-first and microservices architecture for AI platform delivery.
• Relevant cloud or data certification (AWS Data Engineer, Databricks, or equivalent).

Years of experience: 10 to 15 Years

Location:

About the role

We are looking for a Senior Java / J2EE Developer to join our engineering team. You will design and build enterprise-grade software components, reusable libraries, and APIs that power platforms and services across the organisation, with a strong focus on code quality, automation, and engineering best practices.

Key responsibilities

• Design and develop reusable libraries and application programming interfaces for use across the organisation.

• Design and develop software that supports greater automation of build, release, testing, and deployment processes across all environments.

• Support the reuse and sharing of platform components and technologies within software engineering teams.

• Deliver software components that enable the delivery of platforms, applications, and services.

• Write unit and integration tests in automated test environments to ensure and maintain code quality.

• Oversee the quality of work output, ensuring it consistently meets defined technical standards across all services.

• Contribute to and champion best practices for application development and the software development lifecycle.

• Write concise yet comprehensive technical documentation for developed systems and components.

What we're looking for

• 6+ years of hands-on experience in Java / J2EE development with strong object-oriented design fundamentals.

• Strong proficiency in Spring Boot and Hibernate ORM for enterprise application development.

• Solid experience with both relational and non-relational databases — design, querying, and optimisation.

• Hands-on experience with build and CI/CD tooling: Maven, Jenkins, TeamCity, and GitLab.

• Comfortable working in Linux environments for development, deployment, and troubleshooting.

• Experience with caching technologies including Coherence Cache and SOLR.

• Working knowledge of JavaScript for integration and front-end interaction tasks.

• Strong ability to write clear technical documentation and communicate effectively across teams.

Years of experience: 6 Years

Location:

Role Overview

The Technical Lead will be responsible for leading the design, development, and implementation of enterprise-grade applications using Java, Spring Boot, Microservices, SQL/RDBMS, and cloud technologies. The role includes ownership of technical architecture, hands-on development, ensuring secure coding practices, implementing DevOps principles, and contributing to BPMN workflow solutions using Camunda or Activiti.

This position requires strong leadership, deep technical proficiency, and the ability to drive engineering excellence within cross-functional teams.

Key Responsibilities

1. 1. Technical Leadership

•Lead and mentor a team of engineers across design, coding, code reviews, and architecture

•Provide technical direction on application development, system design, integration, and performance optimization

•Ensure adherence to coding best practices, security guidelines, architecture standards, and DevOps processes

1. 2. Application Design & Development

•Design and develop enterprise-scale applications using Java, Spring Boot, and Microservices architecture

•Implement cloud-ready, scalable, and secure RESTful APIs and backend services

•Apply microservices design patterns such as Circuit Breaker, API Gateway, Saga, CQRS, Strangler, and Event Sourcing

•Create reusable components and standardized patterns for application teams

1. 3. Database Design & Optimization

•Design normalized relational database schemas using SQL and RDBMS (Oracle, PostgreSQL, MySQL, etc.)

•Optimize queries, indexes, and stored procedures for high-performance applications

•Ensure effective data modeling and integration

1. 4. Cloud Engineering (AWS Exposure)

•Work with cloud-native components, deployment models, scaling strategies, and cloud networking concepts

1. 5. DevOps & CI/CD Integration

•Collaborate closely with DevOps teams to build, enhance, and troubleshoot CI/CD pipelines

•Promote automation for builds, deployments, testing, and monitoring

•Support containerization (Docker) and orchestration exposure (Kubernetes preferred)

1. 6. Secure Application Development

•Enforce secure coding standards such as OWASP Top 10, API security, token-based authentication, and encryption

•Conduct security code reviews and vulnerability assessments

•Ensure compliance with enterprise security guidelines

1. 7. GenAI Code Assist & Modern Engineering

•Leverage Generative AI tools (GitHub Copilot, ChatGPT-based coding aids, or similar) to improve productivity

•Promote modern engineering practices such as TDD/BDD, clean code, and automated quality gates

Required Technical Skills

Core Skills

•Strong experience with Java (8/11/17)

•Expertise in Spring Boot, Spring Cloud, and REST APIs

•Hands-on experience with Microservices design patterns

•Strong SQL and RDBMS skills (MySQL/PostgreSQL)

•Cloud exposure: AWS

•Experience in DevOps practices and CI/CD pipelines

•Secure development practices (JWT, OAuth2, OWASP)

•BPMN workflow tools: Camunda or Activiti

Additional Good-to-Have Skills

•Experience with Docker / Kubernetes

•Exposure to messaging technologies (Kafka, RabbitMQ)

•Knowledge of caching technologies (Redis, Hazelcast)

•Familiarity with Infrastructure as Code concepts

•Knowledge of API Gateway concepts

•Experience with monitoring tools (Prometheus, Grafana, ELK)

Professional Experience

•10–15 years of hands-on experience in enterprise application development

•Minimum 3+ years in a technical lead or senior engineer role

•Proven experience leading end-to-end application development cycles

•Experience working in Agile/Scrum environments

Soft Skills

•Strong communication and stakeholder management abilities

•Ability to mentor team members and drive technical discussions

•Strong analytical and problem-solving skills

•High ownership mindset and accountability

•Ability to work under pressure and meet deadlines

Availability

The candidate should be open to working a few hours of overlap with New Zealand, which would involve starting work early in the day, by 7:00 AM.

Years of experience: 10 to 15 Years

Location:

About the Role
We are looking for an experienced ETL Engineer to join our data engineering team. You will design, develop, and maintain robust ETL pipelines using industry-standard tools — including but not limited to IBM DataStage, Microsoft SSIS, or Azure Data Factory — working with Oracle DB and Azure cloud services to deliver high-quality, scalable data integration solutions. You will ensure reliable data flows across the organisation, supporting analytics, reporting, and downstream business systems, while adhering to best practices in version control, job scheduling, and release management.

Key Responsibilities

• Design, develop, test, and maintain ETL / ELT pipelines and data integration workflows using one or more industry-standard ETL tools — IBM DataStage, Microsoft SSIS, Azure Data Factory, or equivalent.
• Write and optimise complex SQL and PL/SQL / T-SQL queries, stored procedures, and functions against Oracle DB 19c or equivalent relational databases.
• Design and manage job scheduling workflows using Control-M or equivalent scheduling tools — configuring dependencies, alerts, and automated recovery for production ETL jobs.
• Build and maintain CI/CD pipelines using Jenkins to automate ETL build, testing, and deployment processes across environments.
• Write and maintain Shell scripts for automation of data processing tasks, file management, and environment operations in Linux / Unix.
• Manage source code and versioning using Git — following branching strategies and contributing to collaborative code review processes.
• Support database versioning and migration management using Flyway and artefact management using Artifactory.
• Collaborate with Azure platform teams to integrate on-premise ETL workloads with Azure cloud data services where applicable.
• Perform root cause analysis and resolution of ETL pipeline failures, data quality issues, and performance bottlenecks across production and non-production environments.
• Conduct unit testing and support UAT and integration testing — ensuring data completeness, accuracy, and transformation correctness.
• Produce and maintain high-quality ETL design documentation, data mapping specifications, and operational runbooks.
• Work closely with data architects, DBAs, business analysts, and downstream data consumers to understand requirements and deliver fit-for-purpose integration solutions.

What We're Looking For

• Proven experience as an ETL Engineer with strong hands-on expertise in at least one industry-standard ETL tool — IBM DataStage 11.7, Microsoft SSIS, Informatica PowerCenter / IICS, Azure Data Factory, Talend, or equivalent.
• Strong database skills — preferably Oracle 19c — with advanced SQL and PL/SQL / T-SQL development experience in production environments.
• Hands-on experience with enterprise job scheduling tools — Control-M preferred; Airflow, UC4, or Autosys equivalents also considered.
• Proficiency in Jenkins for CI/CD pipeline configuration and ETL deployment automation.
• Strong Shell scripting skills (Bash) for automation, task scheduling, and environment management in Linux / Unix.
• Solid experience with Git for version control — branching, merging, and collaborative code management in team environments.
• Working experience on Linux / Unix operating systems for file management, process monitoring, and scripting.
• Exposure to Flyway for database migration versioning and Artifactory for artefact repository management.
• Working knowledge of Microsoft Azure data services and cloud-based data integration approaches.
• Strong analytical mindset with a meticulous approach to data quality, pipeline reliability, and issue resolution.

Nice to Have

• Experience with more than one ETL platform — e.g. DataStage and SSIS,and ADF — demonstrating platform-agnostic adaptability.
• Familiarity with Azure Synapse Analytics, Databricks, or AWS Glue for cloud-native ETL workloads.
• Experience migrating legacy on-premise ETL pipelines to cloud-native platforms.
• Knowledge of data warehousing concepts — star / snowflake schema and dimensional modelling.
• Exposure to real-time or streaming data pipelines (Kafka, Azure Event Hubs, or AWS Kinesis).
• Understanding of data governance, data lineage, and metadata management practices.
• Python scripting for data automation and pipeline orchestration.
• Experience in regulated industries — Financial Services, Insurance, or equivalent.
• IBM DataStage, Informatica, Microsoft DP-203, or equivalent data engineering certification.

Years of experience: 5 to 6 Years

Location:

About the Role
We are looking for a highly skilled AI Engineer with 7+ years of experience to design, build, and deploy cutting-edge AI and machine learning solutions across the organisation. You will work at the forefront of applied AI — developing production-grade ML models, GenAI applications, and RAG-based systems that solve real business problems at scale. You will collaborate with data scientists, data engineers, product teams, and architects to bring AI solutions from experimentation to production, embedding best practices in MLOps, model governance, and responsible AI throughout the lifecycle.

Key Responsibilities

• Design, develop, and deploy production-grade AI / ML models and solutions across a variety of use cases including NLP, computer vision, recommendation systems, and predictive analytics.
• Architect and build end-to-end GenAI and RAG pipelines — integrating LLMs, vector databases, and retrieval mechanisms to deliver accurate, governed, and context-aware AI applications.
• Fine-tune and optimise pre-trained LLMs (GPT, Claude, Llama, Mistral) using techniques such as LoRA, PEFT, and RLHF for domain-specific use cases.
• Design and implement agentic AI workflows and multi-agent orchestration frameworks for complex, multi-step reasoning and task automation.
• Engineer robust ML pipelines covering data ingestion, feature engineering, model training, evaluation, versioning, and deployment using MLOps best practices.
• Deploy and serve ML models at scale using FastAPI, TorchServe, or Triton — ensuring reliability, low latency, and high throughput in production.
• Implement model monitoring, drift detection, and retraining pipelines to maintain model performance and reliability over time.
• Collaborate with Data Engineers to design and optimise data pipelines and feature stores that support AI model development and serving.
• Apply prompt engineering techniques to optimise LLM performance — designing effective prompts, chains, and retrieval strategies for enterprise applications.
• Implement guardrails, safety filters, and responsible AI frameworks to ensure AI outputs are fair, explainable, and compliant with organisational and regulatory standards.
• Conduct rigorous model evaluation — using LLM evaluation frameworks, red-teaming, and A/B testing to assess model quality and safety.
• Stay current with the rapidly evolving AI landscape — evaluating and adopting emerging tools, frameworks, and research to maintain competitive AI capabilities.
• Mentor junior AI engineers and data scientists, contributing to the growth of AI engineering capability within the team.

What We're Looking For

1. 7+ years of experience in AI / ML engineering with a strong portfolio of production AI solutions delivered at scale.
2. Deep expertise in Python with advanced proficiency in ML frameworks — PyTorch, TensorFlow, or equivalent.
3. Proven hands-on experience building GenAI applications and RAG pipelines using LangChain, LlamaIndex, or equivalent frameworks.
4. Strong understanding of LLMs — including prompt engineering, fine-tuning (LoRA / PEFT / RLHF), and deployment of models such as GPT, Claude, Llama, or Mistral.
5. Solid experience with vector databases (Pinecone, FAISS, OpenSearch, Chroma, or Weaviate) and semantic search for retrieval-augmented systems.
6. Hands-on MLOps experience — ML pipeline orchestration (Airflow / Kubeflow), experiment tracking (MLflow / W&B), model serving, and monitoring.
7. Strong cloud platform experience — AWS SageMaker / Bedrock, Azure ML / OpenAI Service, or GCP Vertex AI.
8. Experience containerising and deploying ML workloads using Docker and Kubernetes.
9. Solid data engineering fundamentals — SQL, NoSQL, ETL/ELT pipelines, and distributed computing (Spark).
10. Strong understanding of responsible AI principles — fairness, explainability, transparency, and model governance.
11. Excellent communication skills with the ability to translate complex AI concepts for technical and non-technical audiences.

Nice to Have

• Experience with graph-based AI systems — Graph RAG using Neo4j or AWS Neptune.
• Exposure to multi-modal AI models — combining text, image, audio, or video inputs.
• Knowledge of AI safety practices — red-teaming, adversarial testing, and bias mitigation.
• Experience with real-time AI inference and streaming pipelines (Kafka, Kinesis, or Flink).
• Familiarity with edge AI deployment and model compression techniques (quantisation, pruning, distillation).
• Experience delivering AI solutions in regulated industries — Financial Services, Healthcare, or equivalent.
• AWS Certified Machine Learning Specialty, Microsoft Azure AI Engineer, or GCP Professional ML Engineer certification.
• Contributions to open-source AI projects or published AI research.

Years of experience: 7 Years

Location:

About the Role:
We are looking for a highly skilled Senior Business Analyst with 8–10 years of experience to join our delivery team. You will lead requirements gathering, business process analysis, and solution design activities across complex programmes and projects — acting as the critical bridge between business stakeholders and technical teams. With a strong analytical mindset and excellent communication skills, you will ensure delivered solutions are aligned to business goals, drive measurable value, and meet agreed customer outcomes.

Key Responsibilities

• Lead requirements gathering workshops and discovery sessions with business stakeholders to understand objectives, processes, pain points, and constraints, translating findings into clear functional and non-functional requirements.
• Elicit, analyse, document, and manage business requirements, user stories, process flows, use cases, and acceptance criteria throughout the full project and programme lifecycle.
• Collaborate closely with Product Owners, Solution Architects, Developers, and UX teams to ensure proposed solutions align with business goals and deliver maximum measurable value.
• Conduct thorough business process analysis (AS-IS / TO-BE), identify opportunities for process improvement and automation, and support the design of efficient future-state operating models.
• Facilitate requirement prioritisation, scope management, and impact assessments — proactively managing changes to requirements and communicating implications to project teams and stakeholders.
• Support change management activities to ensure business readiness and successful adoption of delivered solutions.
• Validate requirements during testing and implementation phases — reviewing test scenarios, supporting and coordinating UAT, and confirming that delivered solutions meet agreed business and customer outcomes.
• Produce high-quality BA artefacts including BRDs, FRDs, user stories, process maps, RACI matrices, and traceability matrices.
• Act as a trusted advisor to senior business stakeholders, providing analytical insight and recommendations to support informed decision-making.
• Contribute to the continuous improvement of BA practices, templates, and frameworks within the team.

What We're Looking For

1. 8–10 years of experience in a Business Analyst role with a proven track record of delivering complex, cross-functional programmes and projects.
2. Excellent requirements elicitation and documentation skills — BRDs, FRDs, user stories, use cases, process flows, and acceptance criteria.
3. Strong business process analysis experience with demonstrated ability to map current-state processes and design optimised future-state operating models.
4. Proven ability to engage, influence, and manage stakeholders at all levels — from operational teams to C-suite — with confidence and clarity.
5. Experience facilitating workshops, design sessions, and prioritisation meetings with diverse and senior stakeholder groups.
6. Solid understanding of Agile / Scrum delivery methodologies and experience contributing to Agile ceremonies — sprint planning, backlog refinement, and retrospectives.
7. Strong experience supporting UAT — planning, coordinating, and validating test scenarios against documented requirements.
8. Proficiency with BA and collaboration tools — Jira, Confluence, Visio, Lucidchart, or Miro.
9. Excellent written and verbal communication skills with the ability to produce clear, concise, and audience-appropriate documentation and presentations.
10. Strong analytical thinking, attention to detail, and the ability to manage competing priorities across multiple workstreams simultaneously.

Nice to Have

• Experience in Financial Services, Insurance, or other regulated industries.
• Familiarity with automation, AI, or digital transformation programmes.
• Knowledge of data analysis techniques and tools (SQL, Power BI, or Tableau) to support evidence-based requirements.
• Exposure to Enterprise Architecture frameworks (TOGAF, ArchiMate) or Solution Design processes.
• Experience with SAFe (Scaled Agile Framework) or large-scale Agile delivery programmes.
• Business Analysis certification — CBAP, CCBA, BCS BA Diploma, or equivalent.
• Change management certification — Prosci, APMG, or equivalent.

Years of experience: 8 to 10 Years

Location:

Role Overview:

We are seeking a skilled Full Stack Developer with strong experience in.NET and React to build scalable and high-performance web applications. The role involves working across backend and frontend layers, developing APIs, and delivering modern user interfaces in an Agile environment.

Key Responsibilities:

• Develop backend services using.NET Core / ASP.NET and C#
• Build responsive frontend applications using React and JavaScript
• Design and integrate RESTful APIs
• Work with databases and optimize queries
• Ensure application performance, scalability, and security
• Collaborate with cross-functional teams including QA and DevOps
• Participate in code reviews and follow best practices
• Troubleshoot and resolve production issues

Required Skills & Experience:

1. 5+ years of experience in software development
2. Strong expertise in.NET Core / ASP.NET and C#
3. Strong experience with React and JavaScript
4. Experience with REST APIs and microservices architecture
5. Good understanding of SQL and relational databases
6. Experience working in Agile environments
7. Strong debugging and problem-solving skills

Preferred Skills:

• Experience with cloud platforms (Azure, AWS, or GCP)
• Exposure to Docker and Kubernetes
• Experience with CI/CD pipelines

Years of experience: 5 Years

Location:

About the Role
We are looking for a Quality Automation Specialist with 5+ years of experience to join our engineering team. You will design, build, and maintain robust automated test frameworks across modern technology stacks — including microservices and cloud-based platforms — while contributing to DevOps practices and embracing AI-augmented testing approaches. You will play a key role in ensuring quality is embedded throughout the software development lifecycle.

Key Responsibilities

• Design, develop, and maintain automated test frameworks and scripts using Selenium and / or Playwright for web and application testing.
• Write and execute BDD-based test scenarios using Cucumber and Gherkin, collaborating closely with business analysts and developers.
• Develop and execute SQL queries to perform database validation and ensure data integrity across test cycles.
• Perform functional, regression, integration, and end-to-end testing across microservices-based and cloud-hosted applications on AWS.
• Integrate automated tests into CI/CD pipelines using Jenkins or GitLab CI to support continuous testing and delivery.
• Manage test planning, defect tracking, and reporting using Jira, Confluence, and ServiceNow.
• Collaborate with development, DevOps, and product teams to adopt shift-left testing practices and embed quality early in the delivery cycle.
• Conduct API testing (REST / SOAP) to validate service contracts, data flows, and integration points across distributed systems.
• Stay current with AI testing tools and methodologies, applying AI-augmented approaches to improve test coverage, maintenance, and efficiency.
• Maintain and contribute to test documentation including test plans, test cases, and automation runbooks.
• Participate in code reviews of test scripts, ensuring automation quality and adherence to best practices.

What We're Looking For

1. 5+ years of experience in software quality assurance with a strong focus on test automation.
2. Hands-on expertise with Selenium WebDriver and / or Playwright for automated UI and end-to-end testing.
3. Proficiency in writing and optimising SQL queries for data validation and backend testing.
4. Experience with BDD frameworks — Cucumber, Gherkin — and working in behaviour-driven development environments.
5. Solid working knowledge of DevOps and collaboration tools including Jira, Confluence, and ServiceNow.
6. Hands-on experience with version control (Git) and build tools (Maven or Gradle) in an Eclipse or IntelliJ environment.
7. Practical exposure to testing microservices-based architectures and cloud platforms, particularly AWS.
8. Familiarity with CI/CD pipelines and integrating automated test suites into continuous delivery workflows.
9. Awareness and working knowledge of AI testing concepts, tools, or methodologies.
10. Strong analytical skills with a keen eye for detail and a proactive approach to identifying quality risks.

Nice to Have

• Experience with performance or load testing tools (JMeter, Gatling, or k6).
• Exposure to AI-powered testing platforms (Testim, Mabl, Applitools, or equivalent).
• Knowledge of contract testing frameworks (Pact or equivalent) for microservices.
• ISTQB certification (Foundation or Advanced — Test Automation Engineer).
• Experience with mobile test automation (Appium or equivalent).
• Familiarity with accessibility testing standards and tools (WCAG / Axe).

Years of experience: 5 Years

Location:

Role Overview:

We are seeking an experienced D365 Developer to design, develop, and customize solutions on the Microsoft Dynamics 365 platform. The role involves building scalable CRM/business applications, integrating enterprise systems, and supporting end-to-end delivery in an Agile environment.

Key Responsibilities:

Design and develop customizations on Microsoft Dynamics 365

Develop plugins, workflows, and custom business logic

Configure and extend D365 modules based on business needs

Integrate D365 with external systems using APIs and middleware

Develop Power Platform solutions where applicable

Support system testing, deployment, and production releases

Collaborate with functional consultants, architects, and business stakeholders

Ensure adherence to development best practices and coding standards

Required Skills & Experience:

Strong experience with Microsoft Dynamics 365 development

Hands-on expertise in C#, .NET, and JavaScript

Experience developing plugins, workflows, and integrations

Experience with Web APIs and system integrations

Good understanding of D365 data models and customization frameworks

Experience working in Agile delivery environments

Preferred Skills:

Experience with Power Platform (Power Apps, Power Automate)

Knowledge of Azure services and integrations

Experience with CI/CD for D365 deployments

Exposure to enterprise or regulated environments

Years of experience: 8 Years

Location:

About the Role
We are looking for a highly skilled Senior UI Developer with 8–10 years of experience to join our engineering team. You will lead the design and development of scalable, responsive, and user-centric web applications using React.js and TypeScript, working closely with Solution Architects, UX Designers, Product Owners, and backend teams to deliver exceptional frontend experiences in an Agile environment. Beyond hands-on delivery, you will play a key role in setting frontend standards, conducting code reviews, and mentoring junior developers.

Key Responsibilities

• Design, develop, and maintain scalable, high-performance web applications using React.js, TypeScript, JavaScript, HTML5, and CSS3.
• Translate UI/UX designs and business requirements into reusable, maintainable, and accessible frontend components aligned with design system standards.
• Integrate frontend applications with REST APIs, ensuring seamless data exchange, error handling, and an optimal end-user experience.
• Enforce responsive design, accessibility (WCAG), cross-browser compatibility, and performance optimisation best practices across all deliverables.
• Architect and implement reusable component libraries and scalable frontend solutions that support long-term maintainability and team productivity.
• Collaborate closely with Solution Architects, UX Designers, Product Owners, and backend engineers to deliver end-to-end features in an Agile / Scrum environment.
• Lead and participate in technical design discussions, contributing frontend expertise to architectural decisions and solution design.
• Conduct thorough code reviews, providing constructive feedback to peers and ensuring adherence to frontend coding standards and best practices.
• Troubleshoot and resolve complex UI issues across browsers, devices, and environments.
• Mentor and guide junior and mid-level frontend developers, fostering a culture of quality, continuous learning, and engineering excellence.
• Contribute to CI/CD pipeline integration for frontend build, testing, and deployment automation.

What We're Looking For

1. 8–10 years of experience in frontend / UI development with a strong and demonstrable production portfolio.
2. Deep expertise in React.js — including Hooks, Functional Components, Context API, and performance patterns.
3. Strong proficiency in TypeScript and modern JavaScript (ES6+) in large-scale production applications.
4. Solid command of HTML5, CSS3, and SASS/SCSS with a strong eye for pixel-perfect, accessible UI implementation.
5. Proven experience integrating frontend applications with REST APIs and managing asynchronous data flows.
6. Strong understanding of state management patterns using Redux, Redux Toolkit, or Context API.
7. Hands-on experience with frontend testing — Jest, React Testing Library, Cypress, or Playwright.
8. In-depth knowledge of WCAG accessibility standards and cross-browser / cross-device compatibility requirements.
9. Experience with frontend build tooling — Webpack, Vite, Babel — and package managers (npm / Yarn).
10. Excellent communication and collaboration skills with the ability to engage effectively across technical and non-technical stakeholders.
11. Demonstrated experience mentoring engineers and championing frontend best practices within a team.

Nice to Have

• Experience with micro-frontend architecture and module federation.
• Exposure to server-side rendering frameworks such as Next.js.
• Familiarity with GraphQL APIs alongside REST.
• Knowledge of animation libraries (Framer Motion, GSAP) for enhanced UI interactions.
• Experience working with design systems (Material UI, Ant Design, Storybook).
• Exposure to cloud platforms (AWS / Azure) for frontend hosting and deployment (S3, CloudFront, Azure Static Web Apps).
• AWS / Azure Frontend or Full Stack cloud certification.

Years of experience: 8 Years

Location:

About the Role:

We’re looking for a Senior Product Manager to lead the development of our next-generation coding assessment modules for early-career and experienced hiring. You will lead end-to-end product strategy, from ideation to delivery, for core technical assessment experiences across multiple languages, frameworks, and roles.

Key Responsibilities:

• Define and lead the product vision and roadmap for coding assessments (e.g., front-end, back-end, full-stack, SQL, DevOps).

• Collaborate with engineering, UX, content, and data science teams to build scalable and reliable assessment experiences.

• Conduct deep market and user research to identify product gaps and emerging trends.

• Own product KPIs like assessment completion rate, candidate satisfaction, and enterprise adoption.

• Partner with sales, marketing, and customer success to define GTM and drive product adoption.

• Prioritize features and tech investments using data, impact, and business value.

Required Skills & Experience:

1. 10+years of product management experience in B2B SaaS or developer platforms.

2. Strong understanding of technical hiring, programming languages, and workflows.

3. Prior3+yearsofdevelopment/engineering experience, preferred.

4. Exceptional analytical, communication, and stakeholder management skills.

5. Hands-on with product discovery, agile delivery, and metrics-driven prioritization.

Nice to Have:

• Experience building assessment or developer tools, coding platforms, or HR tech products(optional).

• Familiarity with ATS integrations and HR workflows.

• Experience with AI-powered personalization or adaptive assessments.

Years of experience: 10 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: 2 to 5 Years

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:

Job Description: Application Support Engineer QUANTITY (2) Application Support Engineer — Exchange Operations Location: Remote Shift: Rotational (24/7 coverage including nights and weekends) Thursday — Monday working 8 hours shifts, IST day shift About the Role We are looking for a skilled Application Support Engineer to join our Exchange Operations team supporting Nadex, a regulated derivatives trading exchange. You will play a critical role in ensuring the availability, stability, and performance of our production and demo trading environments. This is a hands-on role suited for someone who thrives in a fast-paced, mission-critical environment and takes ownership of operational excellence. Key Responsibilities • Production Support & Monitoring — Provide expert-level remote management, administration, and support for Production and Demo trading exchange environments, ensuring system availability and application stability. • Daily Operations — Execute and monitor daily operational processing, including contract scheduling, settlement of expired contracts, and end-of-day/start-of-day procedures. • Incident & Problem Management — Triage, troubleshoot, and drive resolution of production incidents. Follow defined escalation procedures and contribute to root cause analysis and post-incident reviews. • Performance Tuning — Monitor application and system performance, identify bottlenecks, and implement tuning recommendations to maintain optimal exchange operations. • Change & Release Support — Assist with version upgrades, deployments, and release validation in coordination with Development and QA teams. • Shift Handover & Documentation — Maintain and update runbooks, SOPs, and operational documentation. Ensure seamless shift handovers with clear status communication. • Process Improvement & Automation — Participate in the investigation, implementation, and operation of tools and scripts to automate, streamline, and continuously improve operational workflows. • Collaboration — Work closely with Development, QA, Infrastructure, and partner teams to resolve cross-functional issues and support business-critical initiatives. Required Qualifications • 5+ years of experience managing or supporting mission-critical production software applications. • Strong working knowledge of Linux server operating systems. • Proficiency in scripting and automation — Bash and/or Python. • Hands-on experience with SQL and relational databases. • Demonstrated incident management and technical troubleshooting skills. • Solid understanding of escalation procedures and SLA-driven environments. • Excellent interpersonal, verbal, and written communication skills. • Strong attention to detail and a proactive, ownership-driven mindset. • Willingness to work in a 24/7 rotational shift model, including nights and weekends. Preferred Qualifications • Background in financial services, fintech, or regulated exchange environments. • Knowledge or experience of options and futures trading markets. • Experience with FIX protocol and trading system applications. • Familiarity with monitoring and observability tools — Grafana, Zabbix, Splunk, Logic Monitor. • Experience with messaging and middleware systems — Kafka, AMQ, Tomcat. • Working knowledge of high availability systems and clusters. • Hands-on experience with AWS (EC2, CloudWatch, S3, etc.). • Experience with change and release management processes. • Exposure to SFTP / file transfer workflows and monitoring.

Years of experience:

Location:

We are seeking an experienced Murex ERM Consultant with strong expertise in Market Risk and Murex Risk modules. The role involves supporting and enhancing Murex VaR and risk management capabilities, collaborating with Risk and Middle Office teams, and delivering solutions aligned with regulatory and business requirements.

Required Skills

Must Have:

• Experience in Murex Market Risk Domain VaR, Greeks, Sensitivities Stress testing, and attribution of Risk P L

• Understanding of Murex VaR module historical simulation, back testing, PL VaR

• Good understanding of Murex VaR Data Model

• Expertise in Murex Risk Modules including MRA, MRE, CRE and Collateral.

• Murex ERM implementation experience for PFE and XVA

• FRTB Implementation experience.

• Fluent in using simulations and viewers

• Deep understanding of Greeks and sensitivities and trade attributes commonly used for Market Risk calculations

• Strong domain understanding of Market Risk and FRTB

• Deeper understanding of financial markets from a non-risk and MO perspective

Good to Have

• Upgrade project in Risk domain

• DevOps on Murex experience (GIT, Jenkins, JIRA etc.)

Responsibilities

• As Murex ERM consultant, candidate will be part of application development team for Murex VaR module

• Works closely with Risk & MO users in understanding requirements to build new market risk valuation functionality

• Work with different IT teams across infrastructure, and other divisions to deliver system solutions for the business

• Analyses and resolves issues related to system configuration, Risk, pricing, P&L, sensitivities, market data, market operations, EOD, interfaces, etc

• Assist in Risk report creation using MRA/MRB, PL impact analysis or scenarios upload.

• Analyze the VaR of a portfolio to instrument or deal level.

• Explain the scenarios creation and how they're applied in Murex market risk module.

• Configure any additional MRB reports and MRA views - Support the market risk team for queries/ issues. Support statistical analysis reports

• Analyze and support the Back-testing results.

Years of experience: 5 Years

Location:

Role Overview:
We are seeking an experienced Major Incident Manager / Incident Commander to lead real-time management of high-severity incidents, drive process excellence, and support audit and compliance efforts within a fintech/banking/trading environment.

Must-Have Qualifications:

• 8+ years of experience in Incident Management, Problem Management, and IT Operations within fintech, banking, or trading environments
• Proven experience as a Major Incident Manager/Incident Commander, handling real-time high-severity events
• Strong knowledge of ITIL processes (Incident, Problem, Change, Knowledge, and Configuration Management)
• Hands-on experience with ITSM tools (ServiceNow, JSM, HPSM, CMDB)
• Experience in reporting & analytics (availability, SLA compliance, RCA trends)
• Experience in audit support, process documentation, and liaising with internal/external auditors
• Excellent communication and stakeholder management skills, with the ability to lead effectively under pressure
• Good understanding of high-level software and infrastructure architecture

Nice-to-Have Qualifications:

• Knowledge of trading systems, order management platforms, or exchanges
• Experience running Splunk queries and performing basic troubleshooting
• ITIL v3/v4 certification or equivalent
• Prior experience in global 24×7 financial services environments
• Familiarity with SOC audit frameworks and regulatory compliance in financial services
• Willingness to work night shifts is a plus

Note: US hours (rotation), preferred Monday–Friday, 8-hour shifts, UK Day. This is a remote opportunity.

Years of experience: 8 to 12 Years

Location:

The Java Fullstack Architect (with AI Expertise) is responsible for architecting modern, scalable full stack solutions while integrating AI/ML capabilities across enterprise applications. This role blends deep full stack engineering knowledge (Java, microservices, cloud, front-end frameworks) with hands-on experience designing and deploying AI-powered features such as intelligent automation, predictive analytics, NLP, and generative AI components. The architect will guide teams to adopt AI-driven patterns while ensuring performance, security, and maintainability.

Key Responsibilities:

Architectural Leadership

• Own end-to-end architecture across backend, frontend, data, integrations, and AI components.

• Define standards for microservices, APIs, UI architecture, and AI/ML integration patterns.

• Conduct architectural reviews and establish guidelines for high-quality, scalable solutions.

Backend Engineering (Java)

• Architect and build microservices using Java 11+/Spring Boot, Spring Cloud, and cloud-native services.

• Design event-driven systems, asynchronous patterns, and high-performance data pipelines.

• Integrate AI inference services (e.g., REST,gRPC, model-serving APIs).

• Collaborate with data science teams to productionize ML models (MLOpspractices).

• Work with cloud AI services (AWS, Azure, GCP) such as:

• AWS Bedrock/SageMaker

• Azure OpenAI / Azure ML

• GCP Vertex AI

• Architect vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines.

• Ensure ethical AI use, security, guardrails, and compliance.

Frontend Engineering

• Design modular, scalable UIs using Angular/React with strong state management.

• Integrate AI-powered UI features (e.g., copilots, predictive fields, intelligent search).

• Ensure seamless front-end consumption of microservices and AI APIs.

Cloud & DevOps

• Architect cloud-native deployments on AWS/Azure/GCP.

• Design CI/CD pipelines supporting microservices and ML models.

• Implement containerization using Docker/Kubernetes, including GPU workloads where required.

Collaboration & Mentoring

• Mentor fullstack and AI engineers in architecture principles and modern engineering patterns.

• Work closely with product, data science, UX, and security teams.

• Translate business needs into practical AI-enabled technical solutions.

Required Skills & Experience

Backend (Java): Java 11+, Spring Boot, Spring Cloud, REST, JPA/Hibernate

Frontend: Angular/React, Node, TypeScript, HTML, CSS

Architecture: Microservices, distributed architecture, DDD, event-driven design

Cloud: AWS/Azure/GCP cloud-native architecture

Database: Relational + NoSQL (MongoDB, Cassandra), vector DBs (Pinecone, Redis Vector, Milvus—preferred)

AI/ML Skill Requirements

• Experience integrating AI APIs (OpenAI, Azure OpenAI, Vertex AI, Bedrock).

• Understanding of ML lifecycle: model training, evaluation, deployment, monitoring.

• Hands-on experience with Python-based ML frameworks (nice to have):

• PyTorch, TensorFlow, Scikit-learn

• Experience with RAG architecture, embeddings, or LLM orchestration frameworks such as:

• LangChain, Semantic Kernel, Haystack

• Ability to design MLOps workflows (CI/CD for models, model versioning, drift detection).

• Practical experience building AI-driven features in enterprise applications.

Soft Skills

• Strong communication and leadership.

• Ability to translate AI concepts into business value.

• Deep problem-solving and solutioning mindset.

Preferred Qualifications

• Bachelor’s or Master’s in Computer Science or related field.

• Certifications: Cloud Architect (AWS/Azure/GCP), Generative AI / ML certifications (preferred), Java Architecture certifications

• Experience with data engineering pipelines, ETL, or streaming platforms (Kafka).

• Exposure to privacy, responsible AI, and security frameworks.

Key Performance Indicators (KPIs)

• Quality and scalability of AI-integrated architecture.

• Adoption of AI/ML features across products.

• Reduction in latency, cost, and technical debt.

• Successful production deployment of AI/ML workloads.

• Developer enablement through frameworks and best practices.

Years of experience: 12 to 15 Years

Location:

Role Overview:

We are seeking an experienced Cloud Application Support Engineer whose role involves managing cloud-native backend systems, ensuring production reliability, automating operational workflows, and supporting highly available enterprise applications.

Key Responsibilities:

• Support and maintain RPA/Sirius applications in production environments
• Manage and troubleshoot cloud-native applications on AWS
• Develop and maintain automation solutions using Python and FastAPI
• Support highly available systems and participate in on-call rotations
• Perform incident troubleshooting, root cause analysis, and resolution activities
• Build and maintain operational automation workflows and CI/CD support processes
• Monitor applications, alerts, and system health using observability and monitoring tools
• Collaborate with engineering teams to improve reliability, scalability, and performance
• Support backend systems and databases including MongoDB

Required Skills & Experience:

• Strong hands-on experience with AWS services including EC2, EKS/ECS, Lambda, RDS, and S3
• Strong experience in Python automation and FastAPI
• Experience with MongoDB
• Strong understanding of production support, incident management, and operational reliability
• Experience with CI/CD pipelines and DevOps practices
• Experience with monitoring, alerting, and troubleshooting distributed systems

Good to Have:

• Exposure to Kubernetes and Terraform
• Experience with observability tools and monitoring platforms
• Exposure to AI-driven automation

Years of experience: 5 to 8 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 Summary

We are seeking a highly skilled Senior Python AI Engineer with 6–8 years of experience in developing AI-powered applications, machine learning solutions, and intelligent automation platforms. The ideal candidate will possess strong expertise in Python development, Generative AI, Large Language Models (LLMs), AI agent frameworks, machine learning, and cloud-native AI deployments.

The role involves designing, developing, deploying, and optimizing AI solutions while collaborating with data scientists, product teams, architects, and business stakeholders to deliver scalable AI-driven products and services.

Key Responsibilities

• Design and develop AI/ML applications using Python.
• Build and deploy Generative AI and Large Language Model (LLM) solutions.
• Develop AI agents, copilots, and intelligent automation workflows.
• Implement Retrieval-Augmented Generation (RAG) architectures.
• Integrate AI solutions with enterprise applications and APIs.
• Fine-tune, evaluate, and optimize machine learning and foundation models.
• Develop scalable backend services supporting AI workloads.
• Work with vector databases and semantic search technologies.
• Collaborate with MLOps and DevOps teams for deployment automation.
• Monitor AI model performance and implement continuous improvement strategies.
• Ensure security, governance, and responsible AI practices.
• Stay updated with emerging AI technologies and industry trends.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
• 6–8 years of experience in Python application development.
• Strong experience building AI and Machine Learning solutions.
• Hands-on experience with Generative AI and LLM-based applications.
• Experience designing scalable backend systems and APIs.
• Strong problem-solving and analytical skills.
• Experience working in Agile environments.

Preferred Skills

• Experience with multi-agent AI systems.
• Exposure to AWS Bedrock, Azure OpenAI, OpenAI APIs, or Google Vertex AI.
• Experience with MLOps and AI model lifecycle management.
• Knowledge of AI governance, responsible AI, and model monitoring.
• Experience deploying AI solutions in cloud environments.
• Familiarity with knowledge graphs and enterprise search platforms.
• Relevant AI, Cloud, or Machine Learning certifications.

Years of experience: 6 to 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:

Responsibilities:

• Develop and deploy Azure Data Factory and Azure SQL Database ADLS Gen2.
• Work on data payments, user journey conversions using tools like SQL, Tableau, and data science programming.
• Build triple-A quality casino games with a seasoned JavaScript developer.
• Participate in the creation and management of databases like SQL Server and MySQL.
• Write reusable code modules for use across JavaScript libraries.
• Troubleshoot and analyze websites using HTML, CSS, and other relevant languages.

Requirements:

• 4 to 8 years of experience in JavaScript development, JSON, HTML, CSS, and cross-browser development.
• Strong expertise in HTML, CSS, and writing cross-browser compatible code.
• Knowledge and experience with various API methods and security implementation such as PCI/HIPPA compliance.
• Proficiency in SQL, design patterns, and good problem-solving skills.
• Hands-on experience in HTML, CSS, ReactJS, JavaScript, and Bootstrap.

Key Skills:

JavaScript, Java, GraphQL, React, Node.js, API's/Microservices, Java-based technologies, open-source technologies, modern web standards, Elasticsearch, SQL databases, TypeScript, and more.

Additional Skills:

HTML5, CSS3, Angular 4, Bootstrap, jQuery, AJAX, Web services, Node.js, and proficiency in writing SQL queries.

Years of experience: 4 to 8 Years

Location:

We are seeking a Murex MxML Support Consultant with experience in Murex MX.3 support, MxML Exchange, workflow configuration, and interface support. The candidate will be responsible for monitoring, troubleshooting, and maintaining Murex interfaces and workflows while ensuring smooth trade processing and system integration across Front Office, Middle Office, Back Office, Risk, and Finance applications.

The ideal candidate should have foundational knowledge of Murex MX.3, XML technologies, workflow routing, and production support within Capital Markets environments.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Finance, or related discipline.
• Experience supporting Murex MX.3 applications.
• Basic to intermediate experience with MxML Exchange and workflows.
• Knowledge of XML, XSL, and XSLT.
• Experience working in Unix/Linux environments.
• Understanding of trade lifecycle processes and Capital Markets concepts.
• Good troubleshooting and analytical skills.

Preferred Skills

• Exposure to Java development.
• Knowledge of MQ messaging technologies.
• Familiarity with Jenkins, GitHub, TeamCity, Nexus, or ANT.
• Exposure to production support processes.
• Understanding of Front Office, Risk, Finance, or Treasury systems.
• Knowledge of release and deployment activities.

Key Responsibilities

Murex Support

• Provide L2 production support for Murex MxML interfaces and workflows.
• Monitor inbound and outbound trade messaging processes.
• Support MxML Exchange workflows and interface configurations.
• Investigate workflow failures, message processing issues, and interface exceptions.
• Perform issue analysis and assist in implementing corrective actions.
• Support trade lifecycle processing activities including trade capture, confirmations, settlements, and event management.
• Assist in workflow routing, template configuration, and exception handling.
• Support SIT, UAT, and Production deployments.

Interface & Integration Support

• Support import/export interfaces between Murex and external systems.
• Assist in message transformation, validation, and enrichment activities.
• Work with XML, XSL, and XSLT configurations.
• Support MQ-based messaging and interface monitoring.
• Collaborate with business and technical teams to resolve integration issues.

Operational Support

• Monitor application health and interface performance.
• Maintain support documentation and operational procedures.
• Participate in incident management and root cause analysis activities.
• Escalate critical issues and support resolution efforts.
• Ensure stability and availability of Murex interface environments.

Years of experience: 2 to 6 Years

Location:

We are seeking a DevOps Engineer with experience in CI/CD, cloud platforms, automation, and infrastructure support. Candidates with exposure to Murex environments, Capital Markets applications, or Investment Banking platforms will be highly preferred.

The role involves supporting deployment pipelines, infrastructure automation, cloud operations, and production environments while ensuring system reliability and operational efficiency.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
• Experience in DevOps or Cloud Engineering.
• Experience with CI/CD tools and version control systems.
• Knowledge of Linux/Unix administration.
• Understanding of cloud platforms and container technologies.
• Basic scripting and automation skills.
• Strong troubleshooting and problem-solving capabilities.

Preferred Skills

• Exposure to Murex MX.3 environments.
• Knowledge of Capital Markets systems.
• Experience with Kubernetes and Terraform.
• Familiarity with Control-M scheduling.
• Exposure to Azure, AWS, or GCP.

Key Responsibilities

• Support CI/CD pipeline implementation and maintenance.
• Assist with build, deployment, and release management activities.
• Manage source code repositories and branching strategies.
• Support deployments across Development, QA, UAT, and Production environments.
• Develop and maintain automation scripts.
• Assist in Infrastructure as Code (IaC) implementation.
• Monitor application and infrastructure health.
• Troubleshoot deployment and production issues.
• Support cloud and container platforms.
• Participate in release management and environment support activities.
• Assist with security, patching, and backup processes.

Years of experience: 3 to 6 Years

Location:

Role Summary

We are seeking a Murex Datamart Support Engineer with 2+ years of experience in supporting Murex MX.3 Datamart and Reporting environments. The candidate will assist in monitoring, troubleshooting, and maintaining Datamart reporting processes while ensuring accurate delivery of Risk, P&L, Market Valuation, Accounting, and Regulatory reports.

The ideal candidate should possess working knowledge of Murex Datamart architecture, SQL, reporting processes, and Capital Markets products.

Key Responsibilities

• Support Murex Datamart and reporting environments.
• Monitor EOD batches, feeders, extractions, and reporting processes.
• Investigate report failures, batch issues, and data discrepancies.
• Assist in troubleshooting performance and reporting issues.
• Validate and reconcile reporting data.
• Support business users in resolving reporting-related issues.
• Execute and monitor processing scripts, feeders, and scanner templates.
• Participate in release, migration, and deployment activities.
• Maintain support documentation and operational procedures.
• Work with Risk, Finance, Operations, and Infrastructure teams.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Finance, or related field.
• 2+ years of experience in Murex support environments.
• Basic knowledge of Murex Datamart and Reporting modules.
• Strong SQL skills.
• Knowledge of Unix/Linux environments.
• Understanding of Capital Markets products.
• Good troubleshooting and analytical skills.

Preferred Skills

• Exposure to Python scripting.
• Knowledge of Control-M scheduling.
• Familiarity with Jira or ServiceNow.
• Experience with reporting tools such as Power BI, Tableau, or Qlik.
• Exposure to Murex upgrade activities.

Years of experience: 2 to 6 Years

Location:

We are seeking a Murex Datamart Developer with experience in developing, enhancing, and supporting Murex MX.3 Datamart solutions. The ideal candidate should possess hands-on experience in Datamart configuration, reporting development, data extraction, SQL development, and Capital Markets products. The role involves building and maintaining reporting solutions that support Risk, P&L, Market Valuation, Finance, and Regulatory reporting functions.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Finance, or related discipline.
• Experience in Murex MX.3 Datamart development.
• Strong understanding of Murex Datamart architecture and reporting framework.
• Experience with Dynamic Tables, Feeders, Reporting Tables, and Extractions.
• Strong SQL development skills.
• Experience working in Unix/Linux environments.
• Understanding of Capital Markets products and trade lifecycle.
• Good analytical and problem-solving skills.

Preferred Skills

• Experience with Python scripting and automation.
• Knowledge of Data Warehousing concepts.
• Exposure to Control-M scheduling.
• Experience with Power BI, Tableau, or Qlik reporting tools.
• Familiarity with Murex upgrades and migration projects.
• Knowledge of DevOps and release management processes.

Key Responsibilities

• Develop and maintain Murex MX.3 Datamart reporting solutions.
• Configure and support Dynamic Tables, Feeders, Batch of Feeders, and Scanner Templates.
• Develop reporting tables, extractions, and processing scripts.
• Build and enhance simulation-based and Risk Matrix reports.
• Design and maintain data extraction and transformation processes.
• Develop SQL queries, stored procedures, and performance-optimized reporting solutions.
• Analyze and troubleshoot Datamart reporting issues and data discrepancies.
• Support report validation, reconciliation, and testing activities.
• Collaborate with Front Office, Risk, Finance, Operations, and IT teams.
• Participate in SIT, UAT, release, and deployment activities.
• Assist in Murex upgrades, migrations, and environment support activities.
• Maintain technical documentation and development standards.

Years of experience: 3 Years

Location:

JOB DESCRIPTION

Tech Lead, AI Delivery

The Tech Lead will own the full technical foundation of the engagement from day one: environment setup, OpenAI and Google integration patterns, agent scaffolding, observability infrastructure, and DevOps orchestration.

Bounteous internal AI leadership will be available as a sounding board, but this individual must be capable of executing independently. Once the foundation is in place, this person remains an active technical contributor throughout the engagement lifecycle.

Foundation & Architecture

• Design and build the base framework from day one: environment setup, OpenAI and Google integration patterns, agent scaffolding, observability and monitoring infrastructure, and DevOps orchestration.
• Make architecture and build decisions across the OpenAI and Google AI stack.
• Own production health of deployed agents, including versioning, observability standards, and failure-handling protocols.

Client Delivery & Stakeholder Management

• Serve as the single point of contact to client's Product Owner and Forward Deployed Engineer.
• Translate client's requirements into sprint-level execution — encompassing sprint planning, backlog prioritization, and stakeholder alignment.
• Lead all client-facing delivery reviews with the RevOps team.

Hands-On Technical Contribution

• Write code, build AI agents, and unblock the team technically on a continuous basis.
• Remain an active contributor beyond the foundation phase, supporting the team through the full engagement.
• 12+ years of experience in enterprise technology delivery, with recent years focused on applied AI engineering.
• Demonstrated ability to build AI engineering foundations from scratch — including environment setup, integration patterns, observability, and DevOps — without relying on a pre-existing setup.
• Deep, hands-on expertise with OpenAI APIs: GPT-4, Assistants API, function calling, and embeddings.
• Proven experience with Google AI platforms: Vertex AI or Gemini.
• Track record of leading delivery teams while remaining technically active and contributing directly to the build.
• Excellent communication skills — able to translate technical depth into clear business terms for client stakeholders.
• Revenue Operations (RevOps) or CRM domain knowledge — a strong differentiator for this role.
• Hands-on familiarity with Salesforce, Outreach, and/or Marketo; this substantially reduces ramp-up time on the engagement.

Years of experience: 12 to 15 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:

Position Summary

This is a senior AI engineering role with a clear mandate: embed AI into every stage of the web development software development lifecycle (SDLC) to measurably improve delivery speed, quality, and user experience. The role sits at the intersection of web engineering and applied AI, and the candidate must be credible in both domains.

The engagement model for this role is direct and autonomous. The successful candidate will lead AI strategy conversations with client stakeholders, scope engagements, and manage delivery independently. Strong communication skills are a core hiring criterion, not a secondary consideration.

Web Development Background — What Counts

This background requirement exists because the role directly serves web development teams and client web products. Relevant profiles include:

•WordPress development (themes, plugins, custom builds) — preferred and most directly relevant

•Other CMS platforms, such as Drupal, Joomla, Contentful, Sanity, Strapi, or comparable tools

•Full-stack web development with CMS integration, using frameworks such as Next.js, Nuxt, Laravel, or Django

•Headless CMS and API-first web architecture experience

Key Responsibilities

•AI-accelerated SDLC tooling: automated code generation, intelligent test creation, AI-assisted code review, and deployment optimization

•Claude-powered workflow automation via the Anthropic API, covering requirements analysis, documentation, bug triage, sprint planning, and scaffolding

•AI-enhanced web experiences: personalization engines, conversational interfaces, intelligent search, and adaptive UX

•Cross-functional collaboration with frontend and backend engineers to ship AI features into production web products (WordPress, headless CMS, SaaS)

•Independent client delivery, including AI discovery sessions, solution scoping, and stakeholder management, without a dedicated project management layer

•AI tooling strategy: evaluating, benchmarking, and standardizing coding assistants, observability platforms, and prompt engineering frameworks

•Governance: defining prompt engineering standards, LLM evaluation frameworks, and responsible AI usage guidelines for the engineering team

•Production monitoring of AI systems in live environments, covering performance, cost, and quality

Communication & Client-Facing Profile

•Leads client-facing AI strategy engagements without an account or project management layer

•Communicates confidently in English at all levels, from developers through to C-suite and client boards

•Demonstrates independent stakeholder management across full project lifecycles

•Translates LLM and AI complexity into concrete business value for non-technical audiences

•Surfaces issues early and proactively proposes solutions

•Is a disciplined, asynchronous communicator comfortable working in distributed, remote-first environments

Must-Have Technical Criteria

•4–8 years of experience in software engineering, including a minimum of 2 years in AI/LLM engineering built on a web development foundation

•Proficiency in Python for AI/ML and JavaScript/TypeScript for web-integrated AI features

•Strong grasp of LLM fundamentals, including tokenization, context windows, RAG, embeddings, and fine-tuning concepts

•Experience with vector databases for semantic search, such as Pinecone, Weaviate, pgvector, or equivalent

•Familiarity with AI orchestration frameworks such as LangChain, LlamaIndex, or comparable tools

•Solid understanding of web architecture, including REST APIs, headless CMS, and SPA/SSR, sufficient to integrate AI end-to-end

•Working knowledge of DevOps/MLOps practices, including containerization, CI/CD, model versioning, and automated evaluation pipelines

Years of experience: 4 to 8 Years

Location:

Role Overview

The senior developer will be responsible for the design, development, and implementation of enterprise-grade applications using Java, Spring Boot, Microservices, and SQL/RDBMS. This position requires strong problem-solving skills and technical proficiency.

Key Responsibilities

1. 1. Application Design & Development

•Design and develop enterprise-scale applications using Java, Spring Boot, and Microservices architecture

•Implement cloud-ready, scalable, and secure RESTful APIs and backend services

•Apply microservices design patterns such as Circuit Breaker, API Gateway, Saga, CQRS, Strangler, and Event Sourcing

•Create reusable components and standardized patterns for application teams

1. 2. Database Design & Optimization

•Design normalized relational database schemas using SQL and RDBMS (Oracle, PostgreSQL, MySQL, etc.)

•Optimize queries, indexes, and stored procedures for high-performance applications

•Ensure effective data modeling and integration

1. 3. Secure Application Development

•Enforce secure coding standards such as OWASP Top 10, API security, token-based authentication, and encryption

1. 4. GenAI Code Assist & Modern Engineering

•Leverage Generative AI tools (Windsurf, GitHub Copilot, ChatGPT-based coding aids, or similar) to improve productivity

•Promote modern engineering practices such as TDD/BDD, clean code, and automated quality gates

Required Skills

Core Skills

•Strong experience with Java (8/11/17)

•Expertise in Spring Boot, Spring Cloud, and REST APIs

•Hands-on experience with Microservices design patterns

•Strong SQL and RDBMS skills (MySQL/PostgreSQL)

Additional Good-to-Have Skills

•Experience with Docker / Kubernetes

•Knowledge of caching technologies (Redis, Hazelcast)

Professional Experience

•6–12 years of hands-on experience in enterprise application development

•Experience working in Agile/Scrum environments

Soft Skills

•Strong communication skills

•Strong analytical and problem-solving skills

•High ownership mindset and accountability

•Ability to work under pressure and meet deadlines

Note

The candidate should be open to working a few hours of overlap with New Zealand, which would involve starting work early in the day, by 7:00 AM.

Years of experience: 6 to 12 Years

Location: