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# Engineering Manager, Serverless Compute Platform

- **Company:** Databricks
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $225,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Distributed Systems, Google Cloud, Apache Spark, State Machines, Multi-Cloud, Agentic-AI, Information Technology, Api Management, Serverless Computing
- **Published:** October 31, 2026
- **Apply:** https://www.adzuna.com/details/5774535984

## About the Role

* 5+ years managing engineers building and operating distributed systems in production, ideally control-plane or orchestration services
 * BS or higher in Computer Science or a related field. Equivalent practical experience is equally valued.
 * Deep technical fluency in infrastructure systems. Ability to deeply review architecture docs, challenge design tradeoffs (e.g., state machine design, API boundaries), and coach senior ICs.
 * Experience with multi-cloud or multi-region service deployment (AWS, Azure, GCP).
 * Bias toward operational rigor. Deep commitment to observability, SLOs, pre-mortems, and healthy on-call cultures.
 * Build and scale a high-caliber team. Manage and elevate a team of strong L3-L5 engineers, establishing clear ownership boundaries and architectural doctrine. You will also hire 2-3 additional engineers to support this expanded scope.

## Description

As Engineering Manager for the Execution Sandbox team, you will own the end-to-end delivery of this new service and the engineers building it.

 * You will inherit a team of strong senior ICs who have already delivered an initial preview. Your job is to build out the full vision, guide evolution, and scale the team.
 * You will ensure strong execution health and that the service launches with production-grade reliability spanning a range of use cases, e.g. GPU onboarding, UDF generalization, and managed REPL.

The impact you will have:

 * Own a 0*1 service with platform-wide blast radius. Architect and launch the Execution Sandbox Service from inception to production scale. This greenfield provisioning layer will power all non-Spark compute workloads on Serverless (Notebooks, AI Agents, Remote UDFs).
 * Unify a fragmented compute surface. Converge disparate CPU and GPU cluster management paths into a single provisioning service, eliminating parity bugs and enabling consistent product experiences.
 * Collaborate across 5+ partner organizations. Drive alignment on API contracts and shared milestones across Serverless Platform, AI Runtime, Lakeguard, and product teams.
 * Shape product strategy through deep technical understanding. Partner with Product Management to leverage this new sandbox primitive for future offerings like serverless command execution APIs and FaaS-style workloads.