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Senior Software Engineer, Copilot Code Review

Company
GitHub
Location
Remote US
Work type
Full Time
Posted
2026-08-13

Job description

Overview

AI writes code faster than teams can review it, and review is now the bottleneck. Getting an agent to review as well as, or better than, a great engineer who knows your codebase is one of the most important unsolved problems in AI-assisted development.

Copilot code review is GitHub's answer, and more developers get reviews from it than from any other AI reviewer, increasingly on code that agents wrote. Getting review right is hard to define and harder to measure, and no single number settles whether reviews got better. We think the AI products that win are the ones with the best evals, and we're building the best, offline and online.

We run at GitHub scale with an on-call rotation, and we're a fast-growing team competing to build the best AI code reviewer in the world.

As a Senior Software Engineer here, you'll own features end to end, from agent behavior to what a developer sees. You won't be handed a spec. You'll be handed a problem, and the room to figure out the answer, measure it, and ship it.

Responsibilities

Improve how the agent reviews: the context it uses, what it remembers, and how it handles a pull request as it changes over time.
Integrate frontier models and weigh review quality against latency and cost.
Prove changes with offline and online evals and help sharpen the evals themselves.
Work on the end-to-end review experience developers use in VS Code, the GitHub Copilot app, and the GitHub Copilot CLI, and on pull requests.
Drive down false positives and the comments developers scroll past.
Keep a high-throughput service healthy at GitHub scale, including an on-call rotation.
Work at the frontier of how software gets built with agents and evolve workflows that make the whole team faster.

Qualifications

Required Qualifications:

6+ 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, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Associate’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, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ 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, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ 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, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field.
OR equivalent experience.

Preferred Qualifications:

Hands-on experience pushing coding agents to their limits, with a view on where they help and where they don't.

Experience improving a nondeterministic, model-driven system and quantifying the gain in aggregate.

Fundamentals in Go, Ruby, TypeScript, or Python, with the distributed systems and operational experience to keep a service healthy under load.

Experience building an LLM-backed or agentic product in production, or the evals behind one.

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