Compute Infrastructure Engineering Lead

Databricks Inc.; Mountain View (CA); On-site; USD 190,000 - 254,000; Full time

Job summary

Databricks in Mountain View, CA, seeks an Engineering Manager to lead a team responsible for critical components of our compute platform. You will influence product velocity, reliability, and scalability while guiding a group of engineers.

The role requires 10+ years in distributed systems and 3+ years in management, with cloud expertise (AWS/Azure/GCP) and Kubernetes. You will hire, mentor, and set engineering standards to drive high-impact outcomes.

Qualifications

• 10+ years building and operating large-scale distributed systems with strong testing, monitoring, and reliability.
• 3+ years of engineering management leading high-performing teams.
• Deep cloud infrastructure expertise across AWS, Azure, and GCP with containerized environments.

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.

Skills

Distributed systems

Engineering management

Cloud infrastructure

Kubernetes

Stakeholder collaboration

Team scaling

Education

BS/MS/PhD in Computer Science or related field

Tools

AWS

Azure

GCP

Job description

Databricks in Mountain View, CA, seeks an Engineering Manager to lead a team responsible for critical components of our compute platform. You will influence product velocity, reliability, and scalability while guiding a group of engineers.

The role requires 10+ years in distributed systems and 3+ years in management, with cloud expertise (AWS/Azure/GCP) and Kubernetes. You will hire, mentor, and set engineering standards to drive high-impact outcomes.