Staff Software Engineer, Git Systems

Overview

As a Staff Software Engineer in Git Systems Engineering, you design and ship scalable GitHub services that power the world’s largest code-hosting platform. You will work across distributed teams to improve availability, performance, and scale, enabling AI-driven software development. The role emphasizes mentoring, ownership, and technical leadership in a remote-first, cross-location environment. You will influence architecture and run live-site reliability initiatives, shaping how GitHub handles petabytes of data and millions of QPS.

Pay / Benefits

• remote-first
• competitive pay
• learning and growth opportunities
• excellent benefits

Responsibilities

• Design, develop, test, and ship scalable GitHub services across multiple products
• Document architectural designs, run experiments, and validate through prototyping
• Provide technical leadership via code reviews and maintainable, high-quality code
• Collaborate with product owners to prioritize and deliver projects meeting business goals
• Maintain live services operations and coordinate on-call responses
• Foster an empowered, ownership-driven team culture

Key requirements

• 9+ years in software engineering with proven production software delivery in C/C++/C#/Java/JavaScript/Go/Ruby/Rust/Python (or equivalent)
• Alternative: Associate’s Degree + 8+ years in software engineering with similar language experience
• Alternative: Bachelor’s Degree + 7+ years in software engineering with similar language experience
• Alternative: Master’s Degree + 5+ years in software engineering with similar language experience
• Alternative: Doctorate + 3+ years in software engineering with similar language experience
• Ability to meet security screening requirements

• excellent written communication in a distributed, asynchronous environment
• mentorship and team leadership
• cross-functional collaboration with product, design, and other engineers
• Distributed systems design and implementation
• High availability and performance tuning for large-scale services
• Microservices architectures

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