Synced from Greenhouse · Sep 9

Staff Backend Engineer, Database Automation

GitLabRemote, Canada; Remote, United StatesPosted Sep 9, 2026
Backend EngineerRemoteStaff
Apply now - freeSave & get alerts

Mirrored from GitLab's own Greenhouse careers system · refreshed hourly

$153k–$259k
Compensation
229
Other open GitLab roles
Sep 9
Posted
Greenhouse
Applicant system
Job descriptionReq 8770702002

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

As a Senior or Staff Backend Engineer with the Database Excellence group, you'll build and evolve database automation and PostgreSQL as a service capabilities for GitLab. The level will be determined during the hiring process. You'll use Go to automate the full lifecycle of PostgreSQL across GitLab's infrastructure, making database operations safer, more consistent, and easier to scale for databases that sit behind high-throughput, always-on internet services. You'll work closely with partner teams to shape how GitLab provisions and manages PostgreSQL in a fully remote, highly collaborative environment.

Some examples of our projects:

What you’ll do

  • Design, build, and maintain Go-based automation that manages the full PostgreSQL lifecycle, including provisioning, configuration, upgrades, failover, scaling, and decommissioning, reducing reactive operational work that currently takes more than 80% of the team's time.
  • Build automation that works across infrastructure-as-code tooling and cloud infrastructure, and evaluate operator-based approaches as the platform evolves.
  • Use AI agents as a regular part of building and operating services, including implementation, review, and reducing repetitive work, while keeping the context agents need in the repository so the whole team can build on it.
  • Build for internet scale by designing automation and services for high-throughput, always-on production workloads, where GitLab.com traffic sets the bar for correctness, latency, and availability.
  • Integrate compute, storage, networking, identity and access management, and managed data services across cloud providers into one coherent PostgreSQL platform instead of creating bespoke setups for each database.
  • Build GitLab's PostgreSQL as a service platform to replace bespoke database setups with standardized, automated provisioning and lifecycle management, so supporting more databases doesn't require growing the operations team at the same rate.
  • Collaborate closely with product management, infrastructure, software delivery, and other engineering teams to design and ship high-performing solutions.
  • Research, design, and implement improvements to PostgreSQL performance, scalability, and data health, helping maintain more than 8 months of operational runway for all critical database saturation points.
  • Review database automation and Go changes from other engineers and contributors, with attention to safety, maintainability, and performance.
  • Document automation practices, PostgreSQL operational patterns, and guidance that helps engineers use and contribute to the platform.
  • Build safe, repeatable automation for PostgreSQL major version upgrades at GitLab.com scale, validating changes against real production traffic before rollout.
  • Operate what you build in production from end to end, using production feedback to guide each iteration.

What you’ll bring

  • Professional software engineering experience working with PostgreSQL in large, complex production environments, including experience building or operating a database-as-a-service product.
  • Proficiency with Go, including designing, implementing, testing, and reviewing backend services.
  • Experience developing Kubernetes operators, controllers, or similar automation for the lifecycle of stateful services, especially databases. Kubernetes experience is one way to demonstrate this skill, but isn't required; comparable experience building database or infrastructure automation is welcome.
  • Comfort with infrastructure as code and core database operations concepts such as high availability, replication, backups, and system-level performance trade-offs.
  • Familiarity with Ruby is a plus but isn't required. Much of GitLab's application codebase uses Ruby on Rails, and being able to read it helps when designing automation that application teams depend on. We’ll expect you to become comfortable with it on the job, not on day one.
  • Strong written communication skills and comfort working asynchronously in an all-remote, distributed team.
  • Self-directed work style with effective organizational skills, the ability to manage priorities as a "manager of one," and alignment with GitLab's values of transparency, collaboration, inclusion, and open source contribution, as well as its operating principles.
  • Ownership of the technical direction for a major initiative such as the PostgreSQL as a service platform, turning an ambiguous problem into an architecture and a sequenced plan that several engineers can execute in parallel.
  • Influence beyond the team, setting the patterns other engineers follow, partnering with sibling database, infrastructure, and platform teams, and growing engineers through design reviews and mentorship.

About the team

The Database Excellence group keeps GitLab’s databases running reliably through proactive health management, operational excellence, and strategic enablement. We maintain operational runway by identifying and addressing saturation points, operate infrastructure through automated and scalable processes, and provide tools and frameworks that help teams build features sustainably. Our primary focus is GitLab.com, and we're expanding our scope to provide database health frameworks and tooling that benefit self-managed customers as well.

The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range
$152,800$259,200 USD

How GitLab Supports Full-Time Employees

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.  

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

View original posting on Greenhouse

What applying to GitLab usually looks like

Based on publicly available information, candidates applying through greenhouse typically begin with an online application and resume submission, sometimes accompanied by optional screening questions. GitLab's process, like many companies using this ATS, may include multiple stages such as an initial recruiter conversation, one or more interviews with hiring managers or team members, and potentially a skills-based or take-home exercise depending on the role. Communication is usually managed through automated status updates within the platform, and response times vary based on the position and volume of applicants. Candidates can generally expect the process to be structured but may experience variability in pacing. It is commonly advisable to prepare for both behavioral and role-specific technical questions, and to ensure application materials clearly reflect relevant skills, since greenhouse-based processes often emphasize structured evaluation criteria across candidates.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Free to start · No credit card · Cancel anytime

Keep exploring

What this role pays, where else it is open, and how to write the application.

Staff Backend Engineer, Database Automation
GitLab · Remote, Canada; Remote, United States
Apply