Staff Systems Engineer, Database Infrastructure
GitHub
- Location
- United States
- Employment
- Full Time
- Work model
- Hybrid
- Level
- Staff
- Salary
- $140.4k – $372.3k/yr
- H-1B history
- 5 approvals (FY2023)
Skills
About this role
About GitHub GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview GitHub is looking for a Staff Systems Engineer to join our Database Infrastructure team. We're a team that focuses on ensuring the reliability and scalability of the database fleet that powers GitHub. The Database platform is home to hundreds of terabytes of data, serving over 20 million queries per second on average across our fleet.
Responsibilities
Design and build core components of GitHub's database platform across our self-managed and cloud-managed infrastructure Be a subject matter expert on database internals and database administration within GitHub Work closely with engineering teams across GitHub to understand how they use our databases, support them through design reviews, and bring their needs back into the team's planning Operate and improve replication topology and failover automation including primaries, replica tiers, promotion, cross-region replication, zonal and regional failover, and backup and restore, along with the tooling that makes all of it easy Operate the components our databases run on. Manage kernel tuning, storage configuration, and compute and disk SKU selection to meet throughput, latency, and durability targets Contribute to capacity planning for the database fleet including instance sizing, reserved capacity strategy, and migrating to new VM and disk generations as they become available Participate in an on-call rotation and respond to incidents as needed Contribute to how our fleet evolves onto Azure The team is highly distributed across geographies and time zones, and you will thrive in an environment of remote work and asynchronous communication Qualifications Required Qualifications: 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