
Lead Software Engineer - Java with GEN AI
Primary stack
Nice to have's
Job description
About the Position
Lead Software Engineer - Java with GEN AI
We are seeking a Lead Software Engineer with expertise in Java and Generative AI to join our team in India and support AI adoption activities.
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
We Offer
- 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.)
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