Backend Engineer, Analytics Instrumentation (golang)

GitLab GitLab · Enterprise · India · Data Engineering

Backend Engineer responsible for designing, building, and maintaining a unified Go-based instrumentation service to consolidate instrumentation across the company, manage data quality, and train product teams on its usage. This role involves ensuring the reliability and performance of systems handling usage billing and instrumentation data.

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. Manage the handling of the sending, transit, and quality of instrumentation data across the system, ensuring data integrity that directly impacts the company's key prioritization and usage billing accuracy.
  3. Train and assist product development teams across the company on how to instrument their features using the unified service, providing documentation, guidance, and technical help.
  4. Manage on-call duties during working hours for systems that handle usage billing and instrumentation, ensuring system reliability and quick response to critical issues.
  5. Work across research and development teams and the enterprise data organization to identify requirements and deliver solutions that serve multiple stakeholders.

Skills

Required

  • Proficiency in the Go programming language, with experience building and maintaining production services.
  • Strong backend development experience, with the 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) that other teams integrate with.
  • Experience working in cross-functional teams with product teams, data consumers, and other internal stakeholders across team boundaries.
  • Experience with instrumentation, analytics, data systems, or similar foundational infrastructure in application environments such as Ruby on Rails or comparable stacks.

What the JD emphasized

  • unified Go-based instrumentation service
  • instrumentation data
  • data integrity
  • usage billing accuracy
  • instrument their features
  • system reliability