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Databricks

Senior

Own a 0-to-1 Execution Sandbox service that will run all non-Spark serverless compute at Databricks

Databricks is hiring an Engineering Manager to take its Execution Sandbox Service from initial preview to production scale, managing a team of senior ICs while unifying fragmented CPU/GPU provisioning paths across AWS, Azure, and GCP. Expect deep questions on control-plane architecture, multi-cloud operational rigor, and coordinating across 5+ partner orgs.

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这场面试考什么

  • 0-to-1 service ownership at platform scale
  • Control-plane/orchestration system architecture
  • Multi-cloud (AWS/Azure/GCP) service deployment
  • Cross-org alignment on API contracts and milestones
  • Operational rigor: observability, SLOs, on-call, pre-mortems
  • Managing and scaling a team of senior (L3-L5) ICs

常见提问方向

How would you take a service from initial preview to production-grade reliability

Describe converging two fragmented systems (CPU and GPU provisioning) into one

Tell me about aligning 5+ partner teams on a shared API contract

How do you review an architecture doc and push back on a design tradeoff

Describe building an on-call and SLO culture for a new service

Tell me about coaching a senior engineer through a technical disagreement

How would you scope and justify hiring 2-3 more engineers for expanded scope

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