Backend Engineer, Analytics Instrumentation (Golang)

<div class="content-intro"><p>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.</p> <p>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 <a href="https://handbook.gitlab.com/handbook/values/">values</a> and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. <a href="https://www.youtube.com/watch?v=OuZIb5zszQI">Co-create the future with us</a> as we build technology that transforms how the world develops software.</p> <p>*<em>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.</em></p></div><p>An overview of this role</p> <p>As an Intermediate Backend Engineer, you'll guide the design and development of backend systems that help the company identify customer usage patterns across GitLab SaaS and Self-Managed deployments. That data informs product decisions. This role offers the opportunity to build foundational infrastructure that makes instrumentation simpler and more reliable for teams at GitLab.</p> <h2>What you’ll do</h2> <ul> <li value="1">Design, build, and maintain a unified Go-based instrumentation service that consolidates instrumentation across the entire company, eliminating the need for multiple language-specific SDKs while maintaining reliability and performance.</li> <li value="2">Manage the handling of the sending, transit, and quality of instrumentation data across the system, ensuring data integrity that directly impacts the company's key prioritization and usage billing accuracy.</li> <li value="3">Train and assist product development teams across the company on how to instrument their features using the unified service, providing documentation, guidance, and technical help.</li> <li value="4">Manage on-call duties during working hours for systems that handle usage billing and instrumentation, ensuring system reliability and quick response to critical issues.</li> <li value="5">Work across research and development teams and the enterprise data organization to identify requirements and deliver solutions that serve multiple stakeholders.</li> <li value="6">Make key architectural decisions that balance the needs of product teams (who need ease of use) with data consumers (who need reliability and correctness), ensuring the system serves as a foundational service for the company.</li> </ul> <h2>What you’ll bring</h2> <ul> <li value="1">Proficiency in the Go programming language, with experience building and maintaining production services.</li> <li value="2">Strong backend development experience, with the ability to design scalable, reliable systems serving internal and external customers.</li> <li value="3">Experience with infrastructure concerns such as system reliability, performance at scale, data quality, and observability.</li> <li value="4">Experience designing and building APIs (REST, gRPC, or similar) that other teams integrate with.</li> <li value="5">Experience working in cross-functional teams with product teams, data consumers, and other internal stakeholders across team boundaries.</li> <li value="6">Experience with instrumentation, analytics, data systems, or similar foundational infrastructure in application environments such as Ruby on Rails or comparable stacks.</li> </ul> <h2>About the team</h2> <p>Our team is part of the Data Engineering organization and runs a foundational service used by all research and development teams at GitLab. We manage the systems that send, transport, and validate instrumentation data across the company, giving us visibility into customer usage patterns across