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Lead Software Engineer - Java with GEN AI

Office in India: Coimbatore, & 4 others
Java& 6 others
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We are looking for a Lead Developer to support AI adoption activities using GitHub Copilot across customer teams. The role involves coaching developers on effective GitHub Copilot usage, helping teams improve development efficiency, supporting onboarding/adoption activities, and enabling AI-assisted development best practices.

#LI-DNP

Responsibilities
  • Coach and guide development teams on the effective use of GitHub Copilot
  • Help developers leverage AI-assisted coding for code generation, code optimization, documentation, and unit testing
  • Understand team development workflows and recommend Copilot best practices
  • Support onboarding, adoption, and post-adoption activities for customer teams
  • Conduct knowledge-sharing sessions, demos, and hands-on workshops
  • Collect adoption metrics, feedback, and improvement opportunities from teams
  • Prepare user guidance, process documentation, and best-practice documents
  • Coordinate with Scrum and support teams for issue resolution and enablement activities
  • Participate in client-facing discussions, status meetings, and adoption reviews
Requirements
  • 8+ years of experience in software development
  • 1+ years of team leading experience
  • Hands-on proficiency in Java 8+
  • Expertise in Microservices, REST API, and System Design
  • Knowledge of Gen AI fundamentals and Prompt Engineering
  • Strong knowledge of Agile and Scrum methodologies
  • Familiarity with GitHub Copilot and AI-assisted development tools
  • Understanding of SDLC, coding standards, and developer workflows
  • Competency in communication, coaching, and stakeholder management
  • Strong problem-solving abilities
  • Ability to work with cross-functional and client-facing teams
  • Proficient communication skills in English (B2 level or higher)
Nice to have
  • Experience with Python, Angular, or other modern development languages and frameworks
  • Familiarity with GitHub, CI/CD pipelines, and DevOps practices
  • Exposure to AI/GenAI tools and developer productivity solutions
  • Background in platform adoption or support activities