Engineering Manager, Serverless Compute Platform

TL;DR

Engineering Manager, Serverless Compute Platform: Own end-to-end delivery of a greenfield Execution Sandbox service and scale the engineers building it with an accent on platform-wide blast radius, multi-cloud reliability, and unifying CPU/GPU provisioning. Focus on architecting and launching production-grade distributed systems with strong operational rigor, observability, and SLO-driven on-call practices.

Company

Databricks builds a data and AI infrastructure platform used by thousands of organizations worldwide.

What you will do

• Own 0→1 delivery of the Execution Sandbox service from inception to production scale, covering non-Spark compute workloads.
• Unify fragmented CPU/GPU cluster management into a single provisioning service to eliminate parity bugs and ensure consistent product experiences.
• Ensure strong execution health and production-grade reliability across multiple use cases (e.g., GPU onboarding, UDF generalization, managed REPL).
• Collaborate across 5+ partner organizations to align on API contracts and shared milestones across Serverless Platform and related teams.
• Partner with Product Management to shape product strategy for future sandbox-based offerings (e.g., serverless command execution APIs, FaaS-style workloads).

Requirements

• 5+ years managing engineers building and operating distributed systems in production, ideally control-plane or orchestration services.
• BS or higher in Computer Science (or related field) or equivalent practical experience.
• Deep technical fluency in infrastructure systems, including reviewing architecture, challenging tradeoffs (state machine design, API boundaries), and coaching senior ICs.
• Experience deploying and operating services across multiple clouds and/or regions (AWS, Azure, GCP).
• Strong operational rigor: observability, SLOs, pre-mortems, and healthy on-call culture.
• Ability to build and scale a high-caliber team (manage and elevate L3–L5 engineers; hire 2–3 additional engineers).

Culture & Benefits

• Pay range transparency: $180,500–$225,600 USD for local pay range.
• Compensation may include annual performance bonus and equity, plus region-specific benefits.
• Emphasis on operational excellence with observability, SLOs, and structured incident prevention (pre-mortems).
• Support for building and scaling teams with clear ownership boundaries and architectural doctrine.

Hiring process

• Interviews focused on engineering leadership, distributed systems/infrastructure depth, and operational rigor.
• Evaluation of ability to architect, align cross-org on APIs/milestones, and scale execution from preview to production.

Location: Bellevue, Washington

Salary: $180,500 — $225,600 USD