Intermediate Backend Engineer, SSCS: AI Governance at GitLab
Worldwide
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 an Intermediate Backend Engineer on the AI Governance team at GitLab, you'll help build a paid product designed for regulated enterprise organizations that need to audit, govern, and demonstrate compliance for AI agent usage inside GitLab. This is product work with direct customer impact. You'll contribute to features that support visibility into how AI agents and related tools are used, and you'll help lay the foundation for governance controls that enterprise customers rely on. You'll join a small team with clear product direction, technical guidance from experienced backend engineers, and meaningful ownership from the start. This role is well suited for an engineer with experience in backend development who writes solid tests and wants to grow by shipping real features in an evolving product area. You'll work in GitLab's all-remote, asynchronous environment, collaborating across teams as the AI Governance roadmap continues to expand. What you’ll do Implement well-scoped backend features across the AI Governance product area, including event normalization utilities, storage layer enhancements, API endpoint additions, export support, and registry integrations, delivering production-ready work that ships on schedule. Build and maintain automated test coverage for your work using RSpec or equivalent tools to improve reliability and support safe, consistent releases. Grow your knowledge of AI governance, agent-related product architecture, and integration patterns through hands-on delivery and teamwork so you can contribute more effectively as the roadmap evolves. Work closely with senior and staff engineers to deliver solutions that are reliable, maintainable, and aligned with the product direction and release goals. Work asynchronously with cross-functional partners and nearby engineering teams working on related governance and AI capabilities to help maintain smooth delivery across teams. Take ownership of your scoped work and deliver with a high level of follow-through in a fast-moving product area, closing tasks with clear status updates and consistent execution. What you’ll bring Demonstrated backend development experience building and shipping production features. Proficiency with Ruby on Rails and solid fundamentals in PostgreSQL. Experience building and maintaining automated test coverage with RSpec or an equivalent testing framework. Experience communicating clearly in writing with teammates in an async environment. Demonstrated ability to drive scoped work through completion and follow through on commitments. Experience with, or exposure to, audit event systems, telemetry pipelines, or compliance-focused tooling. Experience learning new technical domains and applying that understanding to product development. Additional experience with GraphQL APIs, event-driven architecture patterns, Python, or data-focused databases such as ClickHouse. About the team You'll join the AI Governance team within GitLab's Secure, Scale, and Compliance area. We focus on helping organizations gain visibility into and govern AI usage inside GitLab. Our work spans two broad problem spaces: visibility, such as audit events, usage tracking, and observability, and policy controls, such as controls that help protect projects and meet compliance requirements. We are building this team alongside a parallel AI Governance team, with both groups contributing to different parts of a fast-changing roadmap. You'll work with a distributed group of engineers and collaborate with adjacent AI and Continuous Delivery teams as we integrate governance capabilities more deeply into the platform. It's an interesting team for engineers who want to work on emerging product challenges at the intersection of AI, compliance, and large-scale enterprise software. For more on how related teams work, see Team Handbook Page. 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 Home office support 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. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. 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.
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