Site Reliability Engineer, Intermediate to Senior Staff — Infrastructure Platforms

GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity and improve operational efficiency. The Site Reliability Engineer role focuses on maintaining user-facing services and production systems, ensuring reliability and scalability while driving automation and operational excellence.

Responsibilities:

• 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 escalate 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

Requirements:

• 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. For example, 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