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Tier-1 brand, remote role, and generic backend title increase applicant competition.
Backend data-platform skills are moderately transferable but require domain-specific data platform experience.
Requires specific backend domain experience and stack (Go, ClickHouse, gRPC), enforcing strict technical filters.
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Build and evolve scalable backend services in Go for GitLab's Data Insights Platform and Siphon, focusing on ingestion, transport, replication, storage, and querying.
Own backend architecture and technical direction for Data Insights Platform components, ensuring system reliability, throughput, operability, and maintainability across SaaS, Dedicated, and Self-Managed GitLab environments.
Drive production readiness, deployment, debugging, and performance improvements of complex distributed data systems in production across GitLab environments.
Strong backend engineering experience in Go, including building and operating production services.
Experience designing scalable and reliable systems for high-throughput or data-intensive workloads.
Experience working on data platforms, event pipelines, or similar foundational infrastructure including ClickHouse or equivalent query-focused data stores.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to own and evolve backend architecture and integrations, including gRPC and messaging layers like NATS, indicating a strong system design and integration focus.
Experience working on production data insights platforms or analytics infrastructure that serve multiple internal product teams.
Comfortable working in distributed, asynchronous team environments with cross-team collaboration on reliability, security, and platform usability.