Staff Backend Engineer (Ruby on Rails/AI), Verify på Gitlab i Remote

GitLab 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 100

refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited

are not affiliated with, and do not endorse products or services of GitLab.

AN OVERVIEW OF THIS ROLE

As a Staff Backend Engineer (AI) in the Verify stage at GitLab, you'll help shape and scale the core infrastructure behind GitLab

CI. You'll play a central role in how we integrate AI into CI/CD workflows. Your work will impact performance, reliability, and

usability for people running millions of CI jobs, from small teams to the largest enterprises.

AI is a top priority in the year ahead. In this role, you'll go beyond using AI tools and help define how we design, build, and

iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio,

including how we measure success, how we instrument behavior in production, and how we account for large language model

limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's

fast, reliable, secure, and observable.

We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:

Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're

missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team

you will collaborate closely with.

Define what success looks like across our agent portfolio and make sure we're tracking against it — not just shipping, but

learning.

Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an

increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:
AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for

onboarding new CI users.

Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled

rollout for customers, solving real infrastructure and scalability challenges.

Build the instrumentation and observability layer that makes agentic CI trustworthy — trigger volume dashboards, retry

rates, cost safeguards — so we can measure what's working, catch what isn't, and iterate with confidence.

Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background

processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise

scale.

WHAT YOU’LL DO

Shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at

high volume.

Design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that

integrates with GitLab's Duo Agent Platform.

Define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that

help the team learn and iterate.

Build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior

metrics, dashboards, and safeguards.

Own and drive measurable performance improvements across CI systems (for example, database access patterns, background

processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data.

Write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing

technical debt and operational risk.

Lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the

Verify stage.

Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and

evidence-driven engineering across CI.

WHAT YOU’LL BRING

Advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large

codebase.

Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance

investigation and remediation.

Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or

adjacent infrastructure-heavy domains.

Practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large

language model limitations and responsible use in production.

A data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring

outcomes against clear success criteria.

Familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and

guide iteration.

Strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts

and zero-downtime changes.

Clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating

effectively in a remote, asynchronous, cross-functional environment.

ABOUT THE TEAM

The Verify stage focuses on collaboration, iteration, and helping GitLab users run fast, reliable, and scalable Continuous

Integration (CI) pipelines for projects of all sizes, from small teams to large enterprises. For more on how we work, see Team

Handbook Page and Related Initiative.

Remote-Global

HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES

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

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet

every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a

job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to

assess your application.

---------------------------------------------------------------------------------------------------------------------------------

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some

roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about

location after starting the recruiting process.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. 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.

Roll

Staff Backend Engineer (Ruby on Rails/AI), Verify

Kategori

Data/IT

Plats

Remote

Publicerad

11 juni

Sista ansökningsdag

16 augusti

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Staff Fullstack Engineer - Data Products

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GitLab 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. 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This is a strong fit if you want to work in a 0 to 1 space where you can shape what gets built, make early architectural choices, and guide work from specification through production health. In this role, you will provide technical guidance across your domain, partner closely with Product, Design, and backend teams, and own outcomes across GitLab.com, Dedicated, and Self-Managed environments as we build out this area. 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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.

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AIGoRust