Lead the GitHub Copilot rollout and training, create adoption standards, coach developers, and improve AI usage in development workflows.
Copilot Adoption & Enablement
- Lead GitHub Copilot rollout across engineering teams (setup, licensing, security, governance).
- Define Copilot usage standards, guardrails, and prompt engineering best practices.
- Design Copilot playbooks for different roles: backend, frontend, QA, DevOps, data, and architects.
- Establish measurable adoption and productivity KPIs.
Developer Coaching
- Run live training sessions, workshops, and office hours.
- Provide 1:1 and team-level coaching on advanced Copilot usage.
- Teach developers how to:
- Write high-quality prompts
- Use Copilot for refactoring, testing, debugging, and documentation
- Combine Copilot with Chat-based AI tools effectively
- Create reusable learning material: guides, videos, cheat sheets, examples.
Hands-On Engineering
- Actively use Copilot in real development workflows.
- Demonstrate best practices by coding alongside teams.
- Prototype Copilot-accelerated workflows in:
- API development
- Integration work
- Test automation
- Data transformations
- Legacy code modernization
Implementation & Integration
- Configure Copilot with GitHub orgs, repos, security controls, and IDEs.
- Ensure alignment with:
- Code quality standards
- Security and compliance
- SDLC processes
- Work with DevOps and security teams to ensure safe AI usage.
AI Developer Experience Strategy
- Advise leadership on:
- AI maturity models for engineering teams
- Roadmap for AI-augmented SDLC
- Tooling beyond Copilot (Claude, Cursor, ChatGPT, etc.)
- Identify friction points and continuously optimize developer experience.
Top Skills
Api Development
Chatgpt
Claude
Cursor
Git
Github Copilot
Ides
Test Automation
NextAmp Boston, Massachusetts, USA Office
75 State Street, Suite 100, Boston, MA, United States, 02109
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