GitLab
GitLab

60 Gitlab Devops Engineer Jobs Hiring Near You

An overview of this role As a Lead People Systems Engineer, you'll drive how GitLab's People systems evolve through an AI-first transformation mindset, putting AI to work across everything we build.

GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million ...

GitLab Dedicated, Cells) and Self-Managed offerings. You will define the technical direction for ... Mentor and develop engineers, raising the technical bar and modeling inclusive collaboration

GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million ...

GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million ...

You'll be the technical owner of GitLab's ITSM platform and the AI capabilities layered on top of ... Experience defining and reporting on operational metrics, with the judgment to know which ...

GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million ...

Senior Internal Auditor, Technology

$86K - $107K/yr

... GitLab understand and manage technology risk while supporting a secure and effective control environment. The team partners across Engineering, IT Operations, Security, Finance, and other business ...

Senior AI Engineer

$107K - $146K/yr

An overview of this role As an Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be ...

GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million ...

GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million ...

Engineering Manager, Growth

$170K - $177K/yr

Experience with developer tools and product-led growth, and the ability to model GitLab's values while contributing to an inclusive, high-performing culture. * A demonstrated ability to challenge the ...

GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million ...

... GitLab through strong adoption, measurable outcomes, and trusted partnership. You will partner ... Knowledge of software development lifecycle practices, related tools, and agile or DevOps ways of ...

Showing results 41-60

Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity

GitLab

Remote

$107K - $146K/yr

Full-time

Posted 26 days ago


Job description

An overview of this role

As a Senior Backend Engineer on GitLab's Nonlinear Productivity team, you'll find and remove friction across the software development lifecycle using reliable AI-powered automation - diagnosing problems like long review cycles, manual release steps, and brittle automation, then building the automation and process changes that resolve them for good.

Some examples of the problems this team takes on:

  • Cutting the time it takes to complete a good code review - one that still keeps a human in the loop - by half, using agentic solutions.
  • Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to.
What you'll do
  • Identify sources of friction across GitLab's software development lifecycle and scope agentic solutions to address them, turning vague pain points into concrete, buildable proposals.
  • Design and build reliable AI-powered systems that follow step-by-step workflows, use tools and safety checks, and correct errors before taking engineering action - the kind of output you can actually trust with real engineering decisions.
  • Build and maintain evaluation tools that judge agent output on correctness, constraint compliance, and cost, not on whether it merely "seems to work."
  • Work across GitLab's codebase as each problem requires, going wherever the friction actually is rather than staying inside one service or product area.
  • Apply distributed systems judgment to identify generated code that may fail under concurrency, at scale, or across self-managed, dedicated, and multi-tenant deployments, catching failures before they reach customers.
  • Collaborate with the India-based group, sharing roadmaps, findings, and reusable agent tooling
  • Take ownership of a greenfield problem space from day one, helping shape a proven internal fix into a capability GitLab could offer customers externally, with your scope and impact free to grow as the team scales.
What you'll bring
  • Hands-on experience building agentic or large language model-based systems - multi-step orchestration, tool use, guardrails, and recovery patterns - and making them reliable in production, not treated as one-off prompts or demonstrations.
  • A track record of working autonomously in unfamiliar codebases, getting oriented quickly, and driving solutions through completion.
  • Strong distributed systems knowledge, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.
  • Proficiency in Go, Rust, or Python, in that order of team priority, and the ability to read and modify code in the other languages.
  • Helpful experience includes shipping autonomous agents that complete real tasks from start to finish; improving build systems, release processes, review workflows, or other parts of the software development lifecycle; and working with globally distributed teams, large language model workload costs, or production constraints across on-premises, air-gapped, single-tenant, and software-as-a-service deployments.
About the team

Nonlinear Productivity - shortened internally to "NLP," with no relation to natural language processing - is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. It operates like a startup - no dedicated product manager, no pre-set backlog - and solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering.

It's a good fit for engineers who'd rather go find the next problem than be handed one, and who want a hand in defining a brand-new part of GitLab from its first commit.

 
Remote-Global