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Engineering Manager - Compute Infra

Databricks· Engineering
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Hybrid (Mountain View / San Francisco)$190k - $253.8kFull-timePosted 8mo ago

About the role

Engineering Manager to lead a team responsible for critical components of the Compute Infrastructure platform that runs Data, AI and stateful workloads across major clouds; responsible for product velocity, reliability, and scale.

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.
  • Influence architectural decisions beyond your immediate team.

Qualifications

  • 10+ years of experience building and operating large-scale distributed systems, including strong practices around testing, monitoring, and reliability.
  • 3+ years of engineering management experience leading high-performing teams.
  • Deep expertise in cloud infrastructure (AWS, Azure, GCP) and containerized environments (Kubernetes) is preferred.
  • Proven ability to collaborate across engineering, product, and business stakeholders.
  • Experience scaling teams and systems through rapid growth.
  • BS, MS, or PhD in Computer Science or related field, or equivalent experience.

Skills

Required:Large-scale distributed systemsEngineering managementCloud infrastructure

Benefits

  • Not specified in detail in the description.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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