Engineering Manager - Compute Infra

About the role

The Compute Infrastructure organization at Databricks builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency.

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.

Requirements

• 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).
• Proven ability to collaborate across engineering, product, and business stakeholders.
• Experience scaling teams and systems through rapid growth.

Qualifications

• BS, MS, or PhD in Computer Science or related field, or equivalent experience.

Skills

• Strong technical acumen and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work effectively in a fast-paced, dynamic environment.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Pay

The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Schedule

Flexible work schedule to accommodate global teams and projects.