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Description: Role Purpose Customize, extend, and integrate Deloitte products inside diverse client codebases. The role is deliberately polyglot — engineers will move between Java microservices on one engagement and a React front-end on the next. Strength is rapidly ramp-up on new stacks, not depth in any single one. Key Responsibilities - Implement client-specific customizations on top of the product's extension points and configuration layers. - Build integrations with client systems — identity providers, data warehouses, third-party APIs, internal services. - Write deployment scripts, configuration manifests, and migration utilities for each engagement. - Diagnose and resolve production issues during go-live and hyper-care windows. - Pair with engagement-team developers to onboard them on the product and hand over operational knowledge. - Document every non-trivial customization pattern so the next POD member can repeat it faster. Must-Have Skills & Experience - 2+ years building and shipping production software across at least two distinct tech stacks. - Working fluently in at least two of: Java/Spring, Python (FastAPI/Django), Node.js, .NET, Go. - Front-end competence in at least one modern framework (React, Angular, or Vue). - Strong with relational and at least one NoSQL data store; comfortable writing performant queries. - REST/GraphQL API design and consumption, including auth, pagination, error semantics, and versioning. - Git-based workflows, code review discipline, and an instinct for writing tests. Nice-to-Have - Experience with containerization (Docker), orchestration (Kubernetes), and at least one major cloud platform. - Exposure to event-driven architectures (Kafka, RabbitMQ, cloud-native equivalents). - Mobile development experience (iOS/Android or React Native). - Prior client-facing engineering work in a consulting or systems integration setting. Success in This Role Looks Like - Ramps up on a new client tech stack within two weeks of engagement kickoff. - Customizations land cleanly with minimal post-go-live defects. - Documentation produced is detailed enough so that another engineer can repeat the customization without help. - Engagement teams request this engineer back by name on future POD pulls.