Staff Backend Engineer, Analytics Instrumentation (golang)

GitLab GitLab · Enterprise · India · Data Engineering

Staff Backend Engineer responsible for the instrumentation platform, guiding architecture for a foundational service, and mentoring engineers. The role focuses on establishing patterns for reliable, scalable instrumentation to improve billing accuracy, product insights, and growth. The team manages systems for sending, transporting, and validating instrumentation data across the company.

What you'd actually do

  1. Architect and guide the design of a unified Go-based instrumentation service, setting the technical direction to replace multiple language-specific SDKs and maintain reliable, high-performance instrumentation across the company.
  2. Own the strategy for handling, validating, and improving instrumentation data quality across the system, increasing billing accuracy and strengthening product planning.
  3. Coordinate mentorship and training initiatives with product development teams across the company, improving adoption of instrumentation best practices and raising the quality and consistency of feature instrumentation.
  4. Set reliability and turnaround standards for systems that enable usage billing and instrumentation, contribute to critical-incident on-call coverage, and coordinate post-incident improvements that reduce recurring issues.
  5. Coordinate cross-functional initiatives across research and development teams and the enterprise data organization, aligning evolving requirements and delivering solutions that serve multiple stakeholders across the company.

Skills

Required

  • Go
  • backend systems design
  • API design (REST, gRPC)
  • system reliability
  • performance optimization
  • data quality
  • observability
  • mentorship
  • cross-functional coordination

Nice to have

  • instrumentation
  • analytics
  • data systems

What the JD emphasized

  • Extensive production experience with Go, with a proven track record of architecting and shipping large-scale services used by multiple teams.
  • Demonstrated ability to design and own backend systems that scale, with experience shaping architectural choices that influence multiple engineering teams.
  • Deep expertise in infrastructure concerns including system reliability, performance optimization at scale, data quality, and observability; proven ability to set standards and mentor others in these areas.
  • Proven experience designing and owning APIs (REST, gRPC, or similar) that scale to serve multiple internal teams, with the ability to evolve designs based on diverse stakeholder needs.
  • Experience coordinating initiatives across functional boundaries, influencing product teams, data consumers, and other stakeholders through technical vision and mentorship.
  • Deep expertise in instrumentation, analytics, data systems, or similar foundational infrastructure; demonstrated impact building systems that become critical to company operations.