MANAGER

Role- Engineering Change Agent / Lead Developer who brings more than traditional development capabilitysomeone with a core engineering mindset, strong independent problem solving skills, and the ability to influence and uplevel an existing team. This role is central to our transformation journey to modernize legacy systems and move toward an autopilot engineering model. The ideal candidate is not an order-taker but a Better Engineersomeone who can diagnose issues, architect solutions, and drive modernization without needing step-by-step direction. Location: India (1 Role- Rate $ 40) Tech Stack: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.) Job Description 1. Transformation & Coaching Assessment & Roadmap Creation: Evaluate the current technology landscape, identify gaps, and shape the transformation roadmap for modernization. Culture Change Agent: Break entrenched comfort zone patterns across a team with 10+ year legacy experience. Mentor team members and interns on modern engineering practices, automation-first thinking, and cloud-native principles. AI Adoption Leader: Promote and operationalize the use of GitHub Copilot and other AI tools for: o Unit test generation o Code reviews & optimization o Issue impact diagnosis o Development efficiency 2. Technical Leadership & Delivery Self-Sufficient Execution: Build systems independently without needing detailed how-to instructions. Should naturally handle engineering essentials such as timeouts, retries, dead letter queues, error handling, and resiliency patterns. Hands-on Development: Write high quality Java code while enhancing CI/CD pipelines, improving automated testing, and increasing code coverage. Cloud & Infrastructure Ownership: Drive Azure-related engineering tasks including IAM, horizontal/vertical scaling, monitoring, and Infrastructure-as-Code (Terraform). Operate with a philosophy of application teams owning their infrastructure. 3. Operational Excellence Documentation & Knowledge Sharing: Transition knowledge from individuals to scalable, documented, and automated processes; establish best practices and engineering playbooks. Resiliency & Scalability Engineering: Architect broadly stable systems that minimize production issues and increase platform reliability.