GitHub is the world’s leading platform for agentic software development, and they are seeking a Staff Engineering Manager to lead the development of the GitHub Copilot AI inference platform. This role involves overseeing the allocation and deployment of GitHub's AI resources, managing high-throughput service infrastructure for inference workloads, and improving the experiment-to-production pipeline.
Responsibilities:
- 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
- Facilitate cross-team communications, identify dependencies, and resolve conflicts to ensure seamless integration and support across products, applications, and services
- Drive employee growth and development, manage performance, and ensure the engineering team's skills remain current by staying abreast of industry developments and best practices
- Guide teams in designing scalable, secure, and observable systems that meet business and technical requirements
- Champion experimentation and telemetry-driven development, enabling rapid iteration and data-informed decisions
- Drive engineering excellence through automation, tooling, and standardization across deployment, testing, and operations
- Own incident response and reliability practices, ensuring live services meet SLOs and postmortems drive systemic improvements
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
- 3+ years people management experience
- Experience in one or more scripting languages (e.g., Bash, Python, or a similar language), technologies and software platforms, (e.g., Ruby, React, Go, 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