Tech Lead for AI-Driven Modernization Pilot (12 weeks)

Project Description

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...
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