Staff Software Engineer

GitHub is a leading AI-powered developer platform focused on enabling secure, collaborative software development. The Staff Software Engineer will help build GitHub’s context layer for its agent platform, developing systems for agent memory, search, knowledge graphs, context retrieval, and evaluation while providing technical leadership across teams.

Responsibilities:

• Provide technical leadership for systems that help AI agents acquire, interpret, retain, and apply relevant software-development context
• Design, prototype, implement, test, ship, and operate high-quality technical solutions that scale across GitHub services and Copilot experiences
• Develop platform capabilities and APIs for context retrieval, sessions, memory, agent customization, evaluation, and feedback-driven improvement
• Turn ambiguous customer and product opportunities into clear technical strategies, architecture proposals, experiments, and executable roadmaps
• Work at the frontier of how software gets built with agents and evolve workflows that make the whole team faster
• Partner with product managers, designers, researchers, data scientists, and engineers across GitHub to connect capabilities into coherent end-to-end experiences
• Establish evaluation methods, telemetry, and learning loops that measure agent quality, efficiency, reliability, and customer outcomes
• Make thoughtful tradeoffs across capability, latency, cost, privacy, security, reliability, and developer experience
• Own and advocate for the health and quality of the systems the team builds, including participating in first-responder on-call rotations and live incidents where applicable
• Apply debugging tools, operational data, and structured experimentation to verify assumptions, identify bottlenecks, and improve system performance and maintainability
• Provide mentorship, pairing opportunities, design and code reviews, and technical guidance that help engineers and teams grow
• Help cultivate an inclusive environment where people are empowered, have clear ownership, and can do their best work
• Drive executional and operational excellence within the team and influence engineering practices across organizational boundaries