Software Engineer, Compute Infrastructure

Job Overview

As a Staff Software Engineer and Tech Lead on the Compute Infra team, you will design and build the systems that power Databricks’ compute infrastructure to enable engineers to quickly launch and scale world-class products.

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

• Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance.
• Design the workload orchestration and scheduling systems that orchestrate all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency.
• Scale the fleet management systems that launch and configure millions of VMs each day across cloud providers.
• Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset.
• Lead cross-team initiatives that span product and infrastructure surface areas.

• BS (or higher) in Computer Science or related field.
• 10+ years of experience designing and building large-scale distributed systems.
• Strong proficiency in one or more languages such as Java, Scala, Go, or C++.
• Experience with service-oriented architectures and large scale distributed systems.
• Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker).
• Track record of shipping infrastructure that supports mission-critical workloads at scale.

Local Pay Range: $180,500 - $225,600 USD.

Databricks is committed to fair and equitable compensation practices. The pay range 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 factors such as job-related skills, depth of experience, relevant certifications and training, and specific work location.

Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees.

We are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure our hiring practices comply with equal employment opportunity standards and consider applicants without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economics status, veteran status, and other protected characteristics.

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.