Site Reliability Engineer, Infrastructure Platforms
Site Reliability Engineers build and operate reliable, scalable production infrastructure across GitLab’s Infrastructure Platforms teams. The role requires strong software engineering and operations fundamentals, Kubernetes and infrastructure-as-code experience, cloud expertise, and comfort with automation, observability, and incident response.
About the job
Responsibilities
- Keep user-facing services and production systems reliable, scalable, and efficient.
- Build automation and tooling to reduce toil and replace 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, shipping changes safely through CI/CD and GitOps.
- Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately.
- Contribute to observability using metrics, logs, and SLOs to detect symptoms early.
- Participate in incident response and post-incident reviews, turning learnings into automation and process improvements.
- Document runbooks, architecture decisions, and reviews.
Requirements
- Experience keeping production systems reliable while combining an operations mindset with software engineering practice.
- Experience building new infrastructure tooling and automation, such as Terraform modules, Kubernetes operators or controllers, and production automation or services from scratch.
- Ability to read, debug, and reason about code, including behavior, performance, and failure modes.
- Experience with infrastructure as code, Kubernetes, and its ecosystem.
- Hands-on experience with GCP or AWS.
- Familiarity with observability practices, including metrics, logging, alerting, SLOs, and SLIs.
- Experience with on-call and incident response, using a structured troubleshooting approach.
- Strong written communication and ability to work independently in an asynchronous, distributed environment.
- Track record of using automation and AI to reduce toil and improve team practices.
Skills
Kubernetes, Terraform, Infrastructure As Code, Go, Ruby, GCP, AWS, CI/CD, GitOps, Observability, SLOs, Slis, Incident Response, On-Call, Automation
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