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Trainee in an SAP S/4HANA Cloud Public Edition program to learn FI/MM/SD and Joule AI modules via structured training and hands-on labs. Responsibilities include system configuration, integrations, identity/access, analytics, Fit-to-Standard workshops, testing simulations, and mentorship-driven progress tracking.

Trainee program to learn and build RPA and AI-enabled automation solutions. Responsibilities include designing, developing, testing, and deploying automation workflows, integrating APIs and AI features, documenting designs and tests, troubleshooting, and collaborating with cross-functional teams while following SDLC and engineering best practices.

Join the Agentic Intelligence Business Unit to support identification, design, development, testing, deployment and production support of AI agents and RPA solutions. Participate in requirements gathering, documentation, solution implementation, troubleshooting, and project delivery tasks while collaborating with stakeholders and applying development best practices.

Lead end-to-end SAP data migration for S/4HANA rollouts: define strategy, manage extraction/transformation/load, ensure data quality, run mock conversions, coordinate cutover and go-live, and liaise with business, technical and offshore teams.

Lead QA planning, strategy, and execution for large enterprise projects. Design test approaches (API, UI, integration, performance, security), build automation frameworks, integrate tests into CI/CD, manage defects and UAT, support service transition, and report quality metrics to stakeholders.

Design, develop, test, deploy and support .NET web applications and automation workflows. Build clean C# code, front-end interfaces, APIs, and SQL-based data models. Execute end-to-end testing and UAT, deploy to IIS, provide L1-L3 support, troubleshoot production issues, and document technical artifacts following Agile and CI/CD best practices.

Design, develop, test, deploy and maintain .NET web applications and automation workflows. Produce technical and functional documentation, perform end-to-end and UAT testing, deploy to production (IIS), and provide L1-L3 support. Troubleshoot issues, adhere to change/incident management and development best practices (Agile, TDD, CI/CD), and collaborate with architects, leads, product owners, and customers.

Design, develop, and deploy enterprise Generative and Agentic AI applications using LLMs. Architect cloud-native AI solutions, build PoCs, support pre-sales, run client workshops, and provide technical advisory across the solution lifecycle.