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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What this interview tests
- 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
Common question themes
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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