Staff Backend Engineer, Analytics Instrumentation (Golang)

An overview of this role

As a Staff Backend Engineer, you'll set the technical direction for our instrumentation platform, guide architecture for a foundational service, and mentor engineers across the company. You'll establish patterns that help teams build reliable, scalable instrumentation that improves billing accuracy, product insights, and long-term growth.

What you’ll do

• 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.
• Own the strategy for handling, validating, and improving instrumentation data quality across the system, increasing billing accuracy and strengthening product planning.
• 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.
• 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.
• 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.
• Own key architectural choices that balance ease of use for product teams with reliability and correctness for data consumers, establishing patterns that scale the system as a foundational service for company-wide growth.

What you’ll bring

• 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.