Staff Software Engineer

GitHub, Inc.

5h•Remote

About The Position

GitHub is looking for a Staff Software Engineer to join the Copilot Platform team. This role focuses on maintaining and evolving a robust, scalable, and reliable platform that powers GitHub Copilot and its integrations. You will work on highly available systems that manage the interaction of multiple large language models (LLMs), ensuring consistent, performant, and safe access at scale. The ideal candidate has hands-on expertise in building and optimizing large-scale distributed systems, including tuning high-throughput services in production. You enjoy digging into technical details, improving resilience, and supporting smooth operation across services that must balance latency, cost, and reliability. As a Staff Software Engineer on the Copilot API team, you will partner with a distributed, diverse, and passionate team of engineers and product managers across GitHub and other partners including AI frontier labs. The GitHub Copilot Platform underpins the quality, scale, and global availability of Copilot features. Your work will ensure its ongoing reliability, enabling seamless integration for other engineering teams and supporting developers worldwide. You will contribute through strong technical implementation, thoughtful design decisions, and collaboration across teams. You’ll help uphold architectural standards, reinforce best practices for system performance, and identify opportunities to improve reliability and scale. Your contributions will directly shape the stability and growth of Copilot’s core infrastructure. We value developer empathy, transparency, and inclusive collaboration. At GitHub, curiosity and impact drive everything we build.

Requirements

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, 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 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, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python 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, 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 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
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, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python, OR equivalent experience.

Nice To Haves

Experience in one or more scripting languages (e.g., Bash, Python, or a similar language), technologies and software platforms, (e.g., Go, Ruby, React,, Javascript/typescript, MySQL, cosmosDB, Elasticsearch), front-end frameworks (e.g., React.js), and / or telemetry dashboard (e.g., Datadog, Sentry, Azure Data Explorer)
Experience with cloud environments and/or Cloud Native Compute Foundation (CNCF) concepts.
Demonstrated experience with large-scale system architecture and design, particularly in cloud-based environments, with a strong understanding of distributed systems and microservices.
Experience working closely with product management, design, and other engineering teams to drive cross-functional projects and deliver high-quality products

Responsibilities

Design, develop, test and ship high-quality technical solutions that scale across multiple GitHub services and become intimately familiar with the systems you build and take pride in writing maintainable code.
Provide technical leadership, mentorship, pairing opportunities, and code reviews to encourage the growth of others; support teams in producing extensible and maintainable code, ensuring integration with downstream dependencies and adherence to quality standards.
Own and advocate for the health and quality of the systems that the team builds, including participating in on-call for first responder rotations and live incidents.
Write architecture briefs and proposals and carry out code experiments.
Design and implement APIs to facilitate seamless integration between software components.
Utilize CI/CD tools to set up automated pipelines for continuous integration and delivery.
Collaborate with cross-functional teams and partner with stakeholders and lead discussions for technical solutions, including design and cost considerations.
Create and guide others in 1) developing clear testing plans to assure solution quality, reliability, and performance; 2) defining success metrics; and 3) integrating customer feedback for continuous improvement - all while ensuring system architecture meets security and compliance standards.
Maintain executional and operational excellence within and potentially across teams/organizations.
Apply debugging tools and telemetry to verify assumptions, proactively resolve issues, and optimize code performance and maintainability.
Drive and support technical roadmap that aligns with product goals, ensuring that engineering efforts are strategically prioritized and incorporating the adoption of new technologies and methodologies where applicable.