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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # golang analytics engineer saas cloud - **Company:** GitLab - **Location:** Circle, AK, United States (Remote available) - **Experience:** Expert - **Salary:** $118,000.0 - $252,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Software Quality, Code Review, Information Engineering, Data Integrity, Reliability of Systems, Backend, Gitlab, Containerization, Kubernetes, Vertica, Golang - **Published:** August 9, 2026 - **Apply:** https://www.workingnomads.com/job/go/1779603/ ## About the Role * 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. ## Description 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., * 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., The base salary range for this role's listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. 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