Engineering Manager, Serverless Compute Platform

Databricks
Bellevue
Workplace: OnsiteFull timeUSD 180,500 - 225,600 annuallyFunction: Hospitality & Food ServiceExperience: 5+ yearsEducation: bachelorsSkills: ["Distributed systems","Observability","SLOs","Multi-cloud","AWS","Azure","GCP","On-call","Leadership"]

Engineering Manager for Databricks’ Execution Sandbox within the Serverless Compute Platform. You will lead and scale a team of senior engineers, deliver a greenfield provisioning service powering non-Spark compute workloads, ensure production-grade reliability across GPU onboarding, UDF generalization, and managed REPL, and align API contracts across multiple partner organizations while shaping long-term product strategy.

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FursaFursa
Databricks
Databricks
2 months ago

Engineering Manager, Serverless Compute Platform

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Last checked: 9 hours agoStatus: Live

Job Summary

Engineering Manager for Databricks’ Execution Sandbox within the Serverless Compute Platform. You will lead and scale a team of senior engineers, deliver a greenfield provisioning service powering non-Spark compute workloads, ensure production-grade reliability across GPU onboarding, UDF generalization, and managed REPL, and align API contracts across multiple partner organizations while shaping long-term product strategy.
Location: Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: Hospitality & Food Service
Seniority: Manager level

Key Responsibilities

  • •Own end-to-end delivery of the Execution Sandbox service from inception to production scale, shaping the vision and guiding evolution.
  • •Inherit and build out a high-performing team of senior engineers, establishing ownership boundaries and architectural doctrine while hiring additional staff.
  • •Ensure execution health and production-grade reliability across a range of use cases (GPU onboarding, UDF generalization, managed REPL).
  • •Unify fragmented compute surfaces by converging CPU/GPU paths into a single provisioning service and eliminating parity bugs.
  • •Collaborate across 5+ partner organizations to align API contracts and milestones across Serverless Platform, AI Runtime, Lakeguard, and product teams.

Pay and Benefits

Salary: USD 180,500 - 225,600 annually
Equity and Bonus:Equity
Perks:Equity

Key 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 a related field; equivalent practical experience
  • •Deep technical fluency in infrastructure systems; ability to review architecture docs, challenge design tradeoffs, and coach senior ICs
  • •Experience with multi-cloud or multi-region service deployment (AWS, Azure, GCP)
  • •Bias toward operational rigor with observability, SLOs, pre-mortems, and healthy on-call cultures
Experience:5+ yearsCloud infrastructureDistributed systemsMulti-cloud
Education:Bachelor's
Skills:Distributed systemsObservabilitySLOsMulti-cloudAWSAzureGCPOn-callLeadership
Languages:English
Tech Stack:AWSAzureGCPKubernetesContainersObservabilitySREAutomation

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn