Looking for a hands-on Tech Lead to drive an AI-driven modernization pilot. You’ll work across architecture, legacy systems, and AI-assisted development to deliver production-grade services with parity to existing systems. This is not a traditional coding role — you must have experience working with AI-assisted development workflows. What You’ll Do Lead delivery of modernization use cases (1–3 flows) end-to-end Translate architecture into working services (APIs, backend, integrations) Drive context extraction from legacy systems (code, DB, flows) Own PR-based workflows for both generated code and configs Set up shadow deployments and parity validation Work with infra/security teams on deployment and approvals Drive observability + feedback loop (logs, metrics, iteration) Must-Have Experience Built and deployed microservices / APIs in production Worked on legacy modernization or refactoring projects Hands-on with CI/CD + cloud (AWS / Azure / GCP) Strong experience with code reviews, branching, PR workflows AI / Modern Dev (Mandatory) You must have real experience using AI in development, not just awareness: Daily use of tools like: GitHub Copilot / Cursor / Claude Code / ChatGPT Experience: Generating production code using AI Using AI for debugging / refactoring Creating test cases via AI Comfortable reviewing and validating AI-generated code Tools / Stack (Expected Exposure) Backend: Java / .NET / Node.js APIs: REST / GraphQL Cloud: AWS / Azure DevOps: GitHub / GitLab / Jenkins Observability: Datadog / ELK / Prometheus / Grafana Databases: SQL (strong), NoSQL What Stands Out (Real Signals) You’ve used AI to speed up delivery in real projects You’ve worked on messy legacy systems (stored procedures, monoliths) You’ve shipped something using AI-assisted workflows end-to-end