Staff Backend Engineer, Analytics Instrumentation (Golang)
New
G
GitLabDevSecOps platform
Remote, IndiaFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- GogRPCRESTful APIs
Requirements
- Extensive production experience with Go
- Proven track record of architecting and shipping large-scale services used by multiple teams
- Demonstrated ability to design and own backend systems that scale
- 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 reliability, performance, data quality, and observability
- Proven experience designing and owning APIs (REST, gRPC, or similar) that scale to serve multiple internal teams
- Ability to evolve API 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
Responsibilities
- 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.
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