## About Git

Hub

GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.

Locations

In this role you can work from Remote, United States

Overview

GitHub Copilot is redefining how the world builds software — and Copilot Chat on GitHub.com is where that experience comes to life for millions of developers every day. We’re looking for a Staff Software Engineer who combines deep software engineering craft with hands-on applied AI expertise to help shape what that experience becomes.

In this role, you’ll work at the intersection of large language models and production systems — designing and building intelligent, context-aware features that integrate directly into developer workflows at global scale. You’ll drive technical direction for your team, partner closely with product and engineering leadership, and bring the kind of judgment that turns ambiguous AI capabilities into reliable, high-impact product experiences.

We care deeply about how we build, not just what we build. We value technical craftsmanship, a culture of ownership, and the belief that great products reflect the teams behind them. If you’re energized by hard engineering problems, care about the craft of shipping quality AI at scale, and want your work to matter to developers worldwide — we’d love to meet you.

Responsibilities

• Design, develop, test, and ship high-quality AI-powered features at scale — including LLM-integrated experiences, retrieval-augmented generation (RAG) pipelines, and agentic workflows — with full ownership from prototype to production.

• Own technical direction for your team’s area: write architecture proposals, lead design reviews, and set the bar for code quality, extensibility, and maintainability.

• Develop and own evaluation frameworks — offline evals, online metrics, and A/B experiments — to measure AI feature quality and drive iterative improvement.

• Provide technical leadership, mentorship, code reviews, and pairing opportunities to help engineers grow; model the engineering culture you want to see.

• Own and advocate for the health and reliability of the systems you build, including participating in on-call and first responder rotations; design and enforce observability standards so your team can operate AI features confidently in production.

• Collaborate with product management, design, and engineering leadership to define requirements, evaluate trade-offs, and drive cross-functional projects from concept to launch; communicate progress, risks, and outcomes clearly to stakeholders.

• Drive and support a technical roadmap that aligns with product goals, ensuring engineering efforts are strategically prioritized and incorporating emerging AI techniques into practical product decisions.

Qualifications

Required Qualifications

• 9+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java

• OR associate’s degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 8+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java,

• OR bachelor's degree in Computer Science or related field AND 7+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java,

• OR master's degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java,

• OR doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 3+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java,

• OR equivalent experience.

• 1+ years of experience building and shipping AI/ML-powered features in production as a software engineer.

Preferred Qualifications

• Experience with LLM-based systems in production, including prompt engineering, retrieval-augmented generation (RAG), intent detection, or agentic/orchestration workflows.

• Experience building production applications in Ruby, Go, and/or JavaScript/TypeScript.

• Experience with offline and online evaluation frameworks for AI features, including building or maintaining eval pipelines.

• Experience with cloud-native development — microservices, containers (Docker), orchestration (Kubernetes), and platforms such as Azure, AWS, or GCP; Azure experience preferred.

• Proficiency with telemetry and observability tooling such as Datadog, Azure Data Explorer, or Sentry for operating AI services in production.

• A track record of mentoring engineers and raising engineering culture — practices, tooling, and standards — not just shipping code.

• Experience working closely with product management, design, and cross-functional partners to drive high-quality AI product experiences from concept to launch.

Compensation Range

The base salary range for this job is USD $140,400.00 - USD $372,300.00 /Yr.

These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.

GitHub values

• Customer-obsessed

• Ship to learn

• Growth mindset

• Own the outcome

• Better together

• Diverse and inclusive

Manager fundamentals

• Model

• Coach

• Care

Leadership principles

• Create clarity

• Generate energy

• Deliver success

Who We Are

GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.

Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!).
At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.

Join us, and let’s change the world, together.

EEO Statement

• GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

• Design, develop, test, and ship high-quality AI-powered features at scale — including LLM-integrated experiences, retrieval-augmented generation (RAG) pipelines, and agentic workflows — with full ownership from prototype to production.

• Own technical direction for your team’s area: write architecture proposals, lead design reviews, and set the bar for code quality, extensibility, and maintainability.

• Develop and own evaluation frameworks — offline evals, online metrics, and A/B experiments — to measure AI feature quality and drive iterative improvement.

• Provide technical leadership, mentorship, code reviews, and pairing opportunities to help engineers grow; model the engineering culture you want to see.

• Own and advocate for the health and reliability of the systems you build, including participating in on-call and first responder rotations; design and enforce observability standards so your team can operate AI features confidently in production.

• Collaborate with product management, design, and engineering leadership to define requirements, evaluate trade-offs, and drive cross-functional projects from concept to launch; communicate progress, risks, and outcomes clearly to stakeholders.

• Drive and support a technical roadmap that aligns with product goals, ensuring engineering efforts are strategically prioritized and incorporating emerging AI techniques into practical product decisions.

Required Qualifications

• 9+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java

• OR associate’s degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 8+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java,

• OR bachelor's degree in Computer Science or related field AND 7+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java,

• OR master's degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java,

• OR doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 3+ years' experience in software engineering, computer science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java,

• OR equivalent experience.

• 1+ years of experience building and shipping AI/ML-powered features in production as a software engineer.

Preferred Qualifications

• Experience with LLM-based systems in production, including prompt engineering, retrieval-augmented generation (RAG), intent detection, or agentic/orchestration workflows.

• Experience building production applications in Ruby, Go, and/or JavaScript/TypeScript.

• Experience with offline and online evaluation frameworks for AI features, including building or maintaining eval pipelines.

• Experience with cloud-native development — microservices, containers (Docker), orchestration (Kubernetes), and platforms such as Azure, AWS, or GCP; Azure experience preferred.

• Proficiency with telemetry and observability tooling such as Datadog, Azure Data Explorer, or Sentry for operating AI services in production.

• A track record of mentoring engineers and raising engineering culture — practices, tooling, and standards — not just shipping code.

• Experience working closely with product management, design, and cross-functional partners to drive high-quality AI product experiences from concept to launch.