Site Reliability Engineer – Intermediate to Senior Staff, Infrastructure Platforms

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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.

🏖️ Benefits

• 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