Staff Software Engineer, CoPilot Agent Platform

GitHub, Inc.•UNAVAILABLE, UNAVAILABLE

4d•Remote

About The Position

GitHub is shaping the future of software development in the age of AI agents. The GitHub Cloud Agent platform provides the secure, scalable infrastructure that enables agents to autonomously perform complex software-development tasks for millions of developers and organizations. We are looking for a Staff Software Engineer to provide technical leadership for one of GitHub’s most ambitious, cutting-edge platforms. You will define the technical direction and lead the architecture and evolution of the cloud infrastructure powering GitHub’s next generation of autonomous agents. You will build secure, durable, globally scalable systems that orchestrate diverse compute workloads, agent harnesses, custom tools, support authentication, and identity for agents. Operating at the frontier of AI-powered software development, you will solve unprecedented infrastructure challenges while establishing the enterprise-grade security, reliability, and isolation required to run trusted agents at GitHub scale. You will collaborate with staff and principal engineers and partner teams across GitHub to translate ambitious product goals into reliable platform architecture. You will write architecture proposals, prototype new approaches, establish engineering standards, and guide teams through complex technical decisions. You will also own the operational health of the platform, ensuring strong security, observability, availability, performance, and cost efficiency as adoption and workloads grow. The ideal candidate combines deep distributed-systems and cloud-infrastructure expertise with strong technical leadership. You work autonomously, communicate clearly across organizational boundaries, mentor other engineers, and balance long-term architectural vision with incremental delivery. Your work will establish the foundation on which GitHub builds and scales the next generation of AI-powered software-development experiences.

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
5+ years of experience operating distributed backend systems at a senior level, including API design, data modeling, and production ownership.
1+ years of experience building and shipping AI/ML-powered features in production as a software engineer.

Nice To Haves

Hands on experience with Go in production, ideally on multi-tenant, high availability services.
Experience with NoSQL or document databases (Azure CosmosDB or comparable) and event driven architectures (Event Hubs, Kafka, or similar).
Experience with spec first API development (OpenAPI/Swagger) and generated server/client bindings.
Experience with feature flag driven development and staged, reversible rollouts in a service used across multiple regions or tenancy models (for example, standard SaaS plus government/sovereign cloud style deployments).
Familiarity with Kubernetes/Kustomize based deployment and Terraform managed cloud infrastructure.

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.
Help cultivate an environment where team members are empowered and demonstrate a strong sense of ownership and belonging.
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.
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.
Work with the team to understand technical constraints, and develop, communicate, and track against realistic plans to consistently ship products, features, and bug fixes.