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Senior Systems Engineer, Database Infrastructure

GitHub70 open roles

Pay
$124,000 – $329,200 a year
Where
United States
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Your applicationOpen nowSenior Systems Engineer, Database InfrastructureGitHub · United States
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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. GitHub postings stay open a median of 38 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted 8 days ago

GitHub median: 38 days open

The posting

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 Senior 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:

  • 6+ 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 PythonOR Associate’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 Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ 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 2+ 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 fie OR equivalent experience

Preferred Qualifications:

  • Excitement about building, operating, and maintaining resilient, scalable systems that impact a global community of users with the ability to break down complex systems into manageable components.
  • Strong expertise with MySQL internals: InnoDB, GTID and semi-synchronous replication, replication lag and its root causes, connection pooling and query routing through a proxy tier, read-after-write consistency strategies such as session pinning or GTID-aware routing, and diagnosing performance problems under production load.
  • Familiarity with database sharding in production, including shard key selection and cross-shard query costs.
  • Strong experience writing production software in Go, Python, Ruby, or Rust, particularly for systems-level work such as agents, daemons, and operational CLI tooling.
  • Experience with Microsoft Azure, or equivalent experience on another major cloud provider such as AWS or Google Cloud, and familiarity with managed database offerings.
  • Experience contributing to large-scale database infrastructure migrations, including replication-based cutover and correctness verification.

Compensation Range

The base salary range for this job is USD $124,000.00 - USD $329,200.00 /Yr.

These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.

This position will be open for a minimum of 3 days, with applications accepted on an ongoing basis until the position is filled.

GitHub values

  • Customer-obsessed
  • Ship to learn
  • Growth mindset
  • Own the outcome
  • Better together
  • Diverse and inclusive

Manager fundamentals

  • Model
  • Coach
  • Care

Leadership principles

  • Create clarity
  • Generate energy
  • Deliver success

Who We Are

GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.

Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.

Join us, and let’s change the world, together.

EEO Statement

GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

  • 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

Required Qualifications:

  • 6+ 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 PythonOR Associate’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 Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ 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 2+ 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 fie OR equivalent experience

Preferred Qualifications:

  • Excitement about building, operating, and maintaining resilient, scalable systems that impact a global community of users with the ability to break down complex systems into manageable components.
  • Strong expertise with MySQL internals: InnoDB, GTID and semi-synchronous replication, replication lag and its root causes, connection pooling and query routing through a proxy tier, read-after-write consistency strategies such as session pinning or GTID-aware routing, and diagnosing performance problems under production load.
  • Familiarity with database sharding in production, including shard key selection and cross-shard query costs.
  • Strong experience writing production software in Go, Python, Ruby, or Rust, particularly for systems-level work such as agents, daemons, and operational CLI tooling.
  • Experience with Microsoft Azure, or equivalent experience on another major cloud provider such as AWS or Google Cloud, and familiarity with managed database offerings.
  • Experience contributing to large-scale database infrastructure migrations, including replication-based cutover and correctness verification.
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