Databricks
Engineering Manager, Serverless Compute Platform
$180K–$226K
Bellevue, Washington · Manager · Full-time · Posted Jun 22, 2026
- Experience
- 5+ years managing engineers building and operating distributed systems in production; distributed systems experience is ideally in control-plane or orchestration services.
- Education
- BS or higher in Computer Science or a related field; equivalent practical experience is equally valued.
About the job
Leads the team building and launching a production-scale Execution Sandbox Service for Databricks Serverless Compute, unifying compute provisioning across workloads and cloud environments.
What you'll do
- Own the service’s architecture, end-to-end delivery, production reliability, and evolution from preview to production scale.
- Align partner organizations on API contracts and shared milestones, and work with Product Management on future uses of the sandbox.
- Manage and grow the engineering team, including hiring 2–3 additional engineers and establishing ownership and architectural practices.
What they ask for
- 5+ years managing engineers who build and operate distributed systems in production.
- BS or higher in Computer Science or a related field, or equivalent practical experience.
- Deep technical fluency in infrastructure systems, including reviewing architecture and coaching senior engineers.
- Experience with multi-cloud or multi-region deployment; commitment to operational rigor, including observability, SLOs, pre-mortems, and healthy on-call cultures.
Pay
$180,500 — $225,600 USD (salary range)
Tools
AWS, Azure, GCP
AI focus
The service will support AI Agents and future offerings; the role partners with AI Runtime and helps shape product strategy for future workloads.
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