Senior Backend Engineer, Analytics Instrumentation (golang)

GitLab GitLab · Enterprise · NA · Data Engineering

Senior Backend Engineer responsible for designing and developing a unified Go-based instrumentation service to consolidate analytics across GitLab's engineering organization, impacting strategic product decisions and usage billing.

What you'd actually do

  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.
  2. Own the responsibility for handling the sending, transit, and quality of instrumentation data across the system, ensuring data integrity that directly impacts the company's strategic decision-making and usage billing accuracy.
  3. Train and support product development teams across the company on how to instrument their features using the unified service, providing documentation, guidance, and technical support.
  4. Manage on-call responsibilities during working hours for systems responsible for usage billing and instrumentation, ensuring system reliability and quick response to critical issues.
  5. Lead collaboration across research and development teams and the enterprise data organization to understand requirements and deliver solutions that serve multiple stakeholders.

Skills

Required

  • Proficiency in the Go programming language
  • experience building and maintaining production services
  • Strong backend development experience
  • ability to design scalable, reliable systems serving internal and external customers
  • Experience with infrastructure concerns such as system reliability, performance at scale, data quality, and observability
  • Experience designing and building APIs (REST, gRPC, or similar)
  • Experience working in collaborative, cross-functional teams

Nice to have

  • instrumentation, analytics, data systems, or similar foundational infrastructure
  • Ruby on Rails experience

What the JD emphasized

  • handling the sending, transit, and quality of instrumentation data
  • data integrity that directly impacts the company's strategic decision-making and usage billing accuracy
  • instrumentation, analytics, data systems, or similar foundational infrastructure is helpful