Lead Software Engineer - Java With GEN AI

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.

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
  
  

• 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)
  
  

• 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
  
  

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
• Health benefits
• Retirement benefits
• Paid time off
• Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)