Software Engineer III, Copilot Models Inference

Required Qualifications

• 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software languages including, but not limited to, C, C++, C#, 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 3+ years experience. OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, 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. OR equivalent experience
• OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 3+ years experience.
• OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, 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.
• OR equivalent experience

Preferred Qualifications

• Experience applying software design principles such as clear interfaces, useful abstractions, and composition to build maintainable and testable systems.
• Experience working with both relational databases and NoSQL data stores, including making appropriate data-modeling and access-pattern tradeoffs.
• Experience building or operating cloud-native services, including containers, Kubernetes, or managed cloud infrastructure.
• Experience with AI or large language model inference systems, model APIs, or model-provider integrations.
• Experience with observability and reliability engineering, including improving latency, capacity, resilience, or incident response for production services.
• Experience with canary releases, feature flags, progressive delivery, or other safe rollout practices.

GitHub values

Manager fundamentals

Leadership principles