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GitLab

Senior

Engineering Manager leading GitLab's Data Insights Platform and classic search architecture

Lead a distributed-systems platform team at GitLab building the ingestion-to-query pipeline (Siphon CDC, NATS/JetStream, ClickHouse, Query API) that powers self-service reporting and search across GitLab.com, Dedicated, Self-Managed, and Cells deployments. A hybrid role: roughly half people management, half hands-on architecture ownership for high-throughput event systems.

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这场面试考什么

  • Distributed data pipeline architecture (ingestion, buffering, enrichment, storage, query serving)
  • Engineering management: hiring, coaching, roadmap ownership, delivery accountability
  • Multi-deployment-model tradeoffs (SaaS vs Dedicated vs Self-Managed vs Cells)
  • Service boundaries and cross-team API ownership (platform vs feature teams)
  • Operational maturity: observability, capacity planning, incident readiness
  • Using AI to drive team productivity

常见提问方向

Tell me about a time you balanced hands-on architecture work with people management

How would you design backpressure handling into a CDC-based ingestion pipeline at scale?

How do you decide where to draw ownership boundaries between a platform team and consuming product teams?

Walk me through how you'd support the same data feature across GitLab.com, Dedicated, and self-managed deployments

How have you used AI to change how your team ships or operates?

Describe a production reliability incident you led the response to

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