Principal Engineer, Cloud Compute & Fleet Optimization

Databricks; Washington; On-site; USD 264,000 - 322,000; Full time

Job summary

Databricks is seeking a Principal Engineer to lead Compute Fleet Management across AWS, Azure, and GCP. You will own the architecture for massive scale, drive optimization of cloud resources, and ensure high availability and resilience.

This role requires delivering cross‑team initiatives, influencing technical direction, and building low‑dependency systems that power the Databricks data and AI platform.

Qualifications

• Leading large, cross‑team engineering initiatives from concept to execution.
• Hands‑on experience building and operating high‑scale distributed systems on at least one major public cloud.
• Ability to drive technical direction and align multiple teams across org boundaries.
• Strong planning, tracking, and management of complex cross‑organizational dependencies.

Responsibilities

• Own the most challenging and impactful outcomes for the compute fleet.
• Define and implement architectures for scalable, resilient compute across clouds.
• Lead development of low‑dependency systems to bootstrap and manage a massive compute platform.
• Ensure high availability and best‑in‑class isolation for diverse customer workloads.

Skills

Leading Transformative Projects

Distributed Systems Mastery

Influence Without Authority

Execution Discipline

GPU Fleet Management

Job description

Databricks is seeking a Principal Engineer to lead Compute Fleet Management across AWS, Azure, and GCP. You will own the architecture for massive scale, drive optimization of cloud resources, and ensure high availability and resilience.

This role requires delivering cross‑team initiatives, influencing technical direction, and building low‑dependency systems that power the Databricks data and AI platform.