Intermediate Backend Engineer - Analytics Instrumentation - Gitlab - Remote - Global

Analytics Instrumentation is part of the Data Engineering and Monetization (DE&M) group, focused on the collection of Product Usage, and Billing event data within GitLab. We build data collection platforms that enable product teams to assess user behavior and make evidence-based choices through privacy-conscious instrumentation that captures product usage throughout the user lifecycle. As an Intermediate Backend Engineer, you'll contribute to the design and development of a unified, data infrastructure platform that consolidates analytics instrumentation across GitLab's engineering organization. You'll help build and maintain backend systems that give the company visibility into customer usage patterns across GitLab SaaS and Self-Managed deployment environments. That data directly informs strategic product priorities and strategies. This role offers the opportunity to work on foundational infrastructure that simplifies instrumentation for teams at GitLab, replacing the complexity of multiple language-specific software development kits with a single, unified solution that teams can rely on. What you’ll do Build and maintain a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams. Help improve the emission, transit, and quality of instrumentation data across the system, with success measured by data quality, data integrity, and usage billing accuracy. Support usage billing and instrumentation systems during working hours, with success measured by timely incident handling and reliable service restoration. Work across the organization with research and development teams and the enterprise data organization to deliver common solutions, with success measured by adoption across multiple stakeholders. Contribute to technical choices that balance ease of use for product teams with reliability and correctness for data consumers, with success measured by platform usability and trusted downstream data. What you’ll bring Experience working with platform or infrastructure systems in production environments. Proficiency in the Go programming language, with experience building and maintaining production services. Backend development experience, with the ability to contribute to scalable, reliable systems serving internal and external customers. Familiarity with infrastructure concerns such as system reliability, performance at scale, data quality, and observability. Experience working in cross-functional teams with product teams, data consumers, and other internal stakeholders across team boundaries. Familiarity with cloud native technologies and open source development practices. About the team The Analytics Instrumentation team operates at the intersection of Product, Analytics and customer facing teams, providing data collection infrastructure that serves engineering teams across GitLab. We're a distributed team of generalist engineers who tackle complex problems spanning the GitLab codebase, JS, Go and Python satellite services, data pipelines, and AI tool integration. We collaborate transparently across teams, delivering measurable results through efficient iteration, while building inclusive solutions that respect user privacy. Our work enables data-driven decision making across the organization. The Analytics Instrumentation team operates at the intersection of Product, Analytics, and customer-facing teams, providing data collection infrastructure that serves engineering teams across GitLab. We're a distributed team of generalist engineers who tackle complex problems spanning the GitLab codebase, JS, Go, and Python satellite services, data pipelines, and AI tool integration. We collaborate transparently across teams, delivering measurable results through efficient iteration while building inclusive solutions that respect user privacy. Our work enables data-driven decision making and data-informed planning across the organization. We're involved in diverse projects from event data collection and privacy compliance tools to AI-powered analytics frameworks that help GitLab teams learn about their users better.