Senior Backend Engineer, Architecture Engineering: Remote, Canada; Remote, United StatesBack to jobs1.

Senior Backend

Engineer, Architecture Engineering: Nonlinear Productivity1d agoG## Senior Backend Engineer, Architecture Engineering: Remote, United StatesSponsorship listedEmployer listing mentions sponsorship (“AI Platform leadership under the direct sponsorship of the CTO.

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Job### Job DescriptionGitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.

GitLab is where careers accelerate, innovation flourishes, and every voice is valued.Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500 is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data.

Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.An overview of this roleAs 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 positive.What you'll doIdentify 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 toolingTake 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 bringHands-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.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 teamNonlinear 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 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.Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits.

See more information on our benefits and equity .United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time EmployeesBenefits to support your health, finances, and well-beingFlexible Paid Time OffTeam Member Resource GroupsEquity Compensation & Employee Stock Purchase PlanGrowth and Development FundParental LeavePlease note that we welcome interest from candidates with varying levels of experience; All of our roles are remote, however some roles may carry specific location-based eligibility requirements.

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Acquisition team can help answer any questions about location after starting the recruiting process.Privacy Policy: Please review our Recruitment Privacy Policy. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law.GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know during the recruiting process .#

📌 Senior Backend Engineer, Architecture Engineering: Nonlinear Productivity (Winnipeg)
🏢 SoftwareCareers
📍 Winnipeg