Site Reliability Engineer Intermediate to Senior Staff

• You make meaningful contributions to reliability, automation, and operational efficiency, working independently within a scoped area.
• You diagnose issues on your own, understand system dependencies, and can explain the tradeoffs you made.
• You prioritize well, break work into manageable steps, and use automation to reduce toil.
• You document your work clearly and keep yourself moving without needing check-ins.

• Senior

• You drive reliability improvements across multiple projects or services and prioritize them based on real system needs.
• You lead investigations, anticipate cascading failures, and coordinate incident response.
• You own delivery end to end, unblock others, and improve the patterns your team works by.
• You communicate complex ideas clearly, influence how work gets done, and enable coordination across teams.

• Staff

• You shape reliability strategy across teams and services and define patterns that others reuse.
• You introduce prevention strategies, identify systemic weaknesses, and influence incident response practices beyond your immediate area.
• You design execution and automation approaches that work at organizational scale.
• You connect reliability work to platform and business needs.

• Senior Staff

• You set technical direction for reliability across a sub-department, not just a team.
• You drive the hardest, most ambiguous systems problems and establish standards and guardrails that multiple teams adopt.
• You mentor Staff and Senior engineers.
• You align reliability strategy with long-range platform direction and represent Infrastructure's interests across the wider Engineering organization.

What you'll do

• Keep user-facing services and production systems reliable, scalable, and efficient.
• Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows.
• Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling.
• Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps.
• Participate in on-call, triage alerts, follow and improve runbooks, and elevate appropriately.
• Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages.
• Take part in incident response and post-incident reviews, turning learnings into changes in automation and process.
• Document runbooks, architecture decisions, and reviews so your findings become repeatable practices., Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab's user-facing services, most notably GitLab.com. The department spans sub-departments including Production Engineering and Dedicated, and the teams within them own everything from the production fleet and networking platform to observability, incident response, and our single-tenant Dedicated offering. We are a globally distributed, all-remote group that works asynchronously, favors automation over toil, and closes the loop with monitoring and metrics to drive accountability.

• Experience keeping production systems reliable, combining an operations mindset with real software engineering practice.
• Experience building net-new infrastructure tooling and automation, not just configuring existing tools (e.g., Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch).
• The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes.
• Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level.
• Hands-on experience with at least one major cloud provider (GCP or AWS).
• Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions.
• Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure.
• Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment.
• A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work.
• Alignment with GitLab's values and a commitment to working in accordance with them.

Base salary range: $126,400 - $314,400 USD.

Benefits to support your health, finances, and well-being

• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation - Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave

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