Compute Infrastructure Engineering Manager

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

Job summary

Databricks is seeking an Engineering Manager in San Francisco to lead a team building core compute platform components that power data and AI workloads. You will influence product velocity, reliability, and scale across cloud environments, while growing engineers and partnering with leadership to shape strategy.

The role requires 10+ years in distributed systems, 3+ years in management, and deep cloud/Kubernetes expertise.

Qualifications

• 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.
• Experience scaling teams and systems through rapid growth.
• BS, MS, or PhD in Computer Science or related field, or equivalent experience.

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

Leadership

Cloud infrastructure

Kubernetes

Collaboration

Scaling

Testing and reliability

Communication

Strategic planning

Problem solving

Education

CS degree (BS/MS/PhD) or equivalent

Tools

Kubernetes

AWS/Azure/GCP

Job description

Databricks is seeking an Engineering Manager in San Francisco to lead a team building core compute platform components that power data and AI workloads. You will influence product velocity, reliability, and scale across cloud environments, while growing engineers and partnering with leadership to shape strategy.

The role requires 10+ years in distributed systems, 3+ years in management, and deep cloud/Kubernetes expertise.