Databricks
Cloud Infrastructure & DevToolsDirect Greenhouse career site

Senior Software Engineer, Compute Infrastructure

Pay
$164,200 – $205,200 per year
Location
Mountain View, CA
Job type
Full-time
Level
Senior
Experience
4+ years
Listed
30 days ago

Skills & highlights for this role

  • Kubernetes
  • Docker
  • distributed systems design
  • cloud provider internals (AWS/Azure/GCP)

Also useful

  • Firecracker
  • MicroVM
  • Borg

The Opportunity

Multi-cloud is core to Databricks product strategy. Compute serves as the layer that abstracts the cloud from the rest of the company. Building unified infrastructure on top of heterogeneous clouds is a challenge that few companies experience.

As an engineer on this team, you won't just manage infrastructure; you will build it as a product. You will tackle the hard problems of distributed systems: sub-second container/MicroVM startup times, multi-tenant security isolation, and building a unified orchestration layer that scales across AWS, Azure, and GCP.

What You'll Do

  • Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency.
  • Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase.
  • Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers.
  • Optimize everything from the API gateway down to the host-level networking and container orchestration.
  • Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber's infrastructure.

What We're Looking For

  • 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language
  • 4+ years of experience developing large-scale distributed systems from scratch
  • Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP).
  • You aren't just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) 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 several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range $164,200—$205,200 USD

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region

Compliance

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.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Read the original posting

From Databricks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Senior Software Engineer, Compute Infrastructure role at Databricks, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

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Common questions

What is the salary for the Senior Software Engineer, Compute Infrastructure role at Databricks?

The Senior Software Engineer, Compute Infrastructure posting at Databricks states compensation of $164,200 – $205,200 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.

Where is the Senior Software Engineer, Compute Infrastructure job at Databricks located?

This Senior Software Engineer, Compute Infrastructure position at Databricks is located in Mountain View, CA. Always check Databricks's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Software Engineer, Compute Infrastructure at Databricks?

For the Senior Software Engineer, Compute Infrastructure role, Databricks highlights 4+ years of relevant experience; experience with Kubernetes, Docker, distributed systems design, cloud provider internals (AWS/Azure/GCP). Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Software Engineer, Compute Infrastructure position at Databricks?

This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.