Senior Backend Engineer, Analytics Instrumentation (Golang)

## Responsibilities - Guide the design, implementation, and evolution of a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams. - Improve the emission, transit, and quality of instrumentation data across the system, with success measured by data quality, data integrity, and usage billing accuracy. - Provide technical guidance for usage billing and instrumentation systems during working hours, with success measured by timely incident handling, effective root cause analysis, 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. - Make technical choices that balance ease of use for product teams with reliability and correctness for data consumers, with success measured by platform usability and reliable downstream data. - Mentor other engineers through code reviews, design discussions, and clear technical documentation, with success measured by stronger code quality, faster technical alignment, and more maintainable systems. ## Requirements - Significant experience working with platform or infrastructure systems in production environments. - Strong proficiency in the Go programming language, with experience building and maintaining production services. - Strong backend development experience, with the ability to design and deliver scalable, reliable systems serving internal and external customers. - Experience guiding technical design and making tradeoffs across system reliability, performance at scale, data quality, and observability. - Experience working across team boundaries with product teams, data consumers, and other internal stakeholders. - Familiarity with cloud native technologies and open source development practices. - A track record of mentoring other engineers and helping teams make clear, well-documented technical choices. ## Nice to Have - N/A ## Benefits - 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.