Engineering Manager - Compute Infra

Databricks
Mountain View, San Francisco
Workplace: OnsiteFull timeUSD 190,000 - 253,750 annuallyFunction: Business Development & PartnershipsExperience: 10+ yearsEducation: bachelorsSkills: ["Leadership","Coaching","Communication","Cross-team collaboration","Mentoring"]

Engineering Manager to lead a team responsible for critical components of the compute infrastructure platform that runs across clouds, Kubernetes clusters, and millions of VMs. You’ll influence product velocity, hire and grow engineers, raise the bar on design, testing, and reliability, and collaborate with leadership to define long-term strategy and cross-team initiatives while shaping architecture.

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FursaFursa
Databricks
Databricks
3 years ago

Engineering Manager - Compute Infra

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Last checked: 2 hours agoStatus: Live

Job Summary

Engineering Manager to lead a team responsible for critical components of the compute infrastructure platform that runs across clouds, Kubernetes clusters, and millions of VMs. You’ll influence product velocity, hire and grow engineers, raise the bar on design, testing, and reliability, and collaborate with leadership to define long-term strategy and cross-team initiatives while shaping architecture.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Business Development & Partnerships
Seniority: Manager level

Key Responsibilities

  • •Own and evolve the compute platform to support all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance.
  • •Hire exceptional engineers and invest in their growth through coaching, feedback, and career development.
  • •Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset.
  • •Partner with engineering and product leadership to define long-term strategy and roadmaps.
  • •Lead cross-team initiatives that span product and infrastructure surface areas and influence architectural decisions beyond your immediate team.

Pay and Benefits

Salary: USD 190,000 - 253,750 annually

Key Requirements

  • •10+ years of experience building and operating large-scale distributed systems with strong testing, monitoring, and reliability practices;
  • •3+ years of engineering management experience leading high-performing teams;
  • •Deep expertise in cloud infrastructure (AWS, Azure, GCP) and containerized environments (Kubernetes);
  • •Proven ability to collaborate across engineering, product, and business stakeholders;
  • •BS, MS, or PhD in Computer Science or related field, or equivalent experience.
Experience:10+ yearsDistributed systemsCloud infrastructureKubernetes
Education:Bachelor's
Skills:LeadershipCoachingCommunicationCross-team collaborationMentoring
Languages:English
Tech Stack:AWSAzureGCPKubernetes

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