Primary record

Principal Engineer, Compute Fleet Management

Databricks Indexed employerBellevue, Washington · United States
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Workplace

On-site

Employment

Other

Published

Aug 11, 2026

Closes

No date supplied

The role

# P-725

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

About the Team: Join the Core of Databricks Infrastructure

The Compute Infra Team is the engine behind all of Databricks' products and Control Plane services. We build and scale the foundational compute infrastructure that enables every Databricks customer to succeed, operating one of the largest and most dynamic data and AI clouds in the world.

Mission: Define the Future of Cloud Compute Efficiency and Scale

As the Technical Lead for Compute Fleet Management, you won't just manage a fleet—you will set the standard for how Databricks consumes and optimizes compute across all three major clouds (AWS, Azure, and GCP). This is a mission-critical role with direct impact on our gross margin and customer experience. Your mandate includes:

• Pioneering Fleet Optimization: Provisioning and pooling of O(Billion)s of cloud resources to achieve peak workload performance, industry-leading efficiency, and robust resource isolation.

• Delivering Hyper-Scale Resilience: Build the architecture that guarantees horizontal scaling and resilience against zonal or even cloud account-level failures, ensuring Databricks is always on.

• Owning the Critical Path: Lead the development of the lowest-dependency systems required to bootstrap and manage our massive compute platform.

Outcomes: The Impact You Will Deliver

This role is for an engineer who thrives on owning the most challenging and impactful outcomes:

• High A

Requirements

Department: Executive Engineering - Pipeline