Senior Software Engineer — Backend (Files Team)

Databricks|02 Oct 2026

fulltimeonsite

Before you apply

Listed location: San Francisco, California

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by Databricks; category and skill labels may be inferred. How our listings work · Report a problem

Job Description

P-78

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 Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The filesystem has emerged as the preferred runtime interface for agentic AI. AI agents use the filesystem for context, memory management, artifact (dashboard, code etc) authoring, version control, sandboxing, and interacting between systems and agents. It is the foundational layer to accelerate AI adoption

As a Senior Software Engineer on the Files team, you will innovate at the intersection of storage, performance, and distributed systems, directly shaping our filesystem strategy to power next-generation agentic workloads.

The Impact You’ll Have

Design, build, and operate the the filesystem platform powering tens of thousands of data, AI and agentic workloads daily
Push filesystem performance for the most demanding workloads — profiling and optimizing across the stack, from the API layer down to the Linux kernel
Partner with teams across the platform to design and evolve next-generation compute and storage architectures
Set the technical direction for how content is organized across Databricks, standardizing around filesystem primitives that apply to every product surface

What We’re Looking For

Bachelor's degree (or higher) in Computer Science or a related field
5+ years of production-level experience in Java, Scala, C++, Go, Rust, or a similar language
3+ years of experience developing large-scale distributed systems
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.
Experience with filesystems and FUSE
Experience building object/blob storage (S3, Azure Blob Storage, GCS etc)
Systems performance engineering across microservices, down to the Linux level
Background in high-scale content, storage, or file-sync products

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

$166,000—$225,000 USD

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.

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 click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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-economic status, veteran status, and other protected characteristics.

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.

Skills mentioned

KubernetesDockerAWSGCPAzureGoRustC++

Frequently asked questions

Is the Senior Software Engineer — Backend (Files Team) position at Databricks remote?

The Senior Software Engineer — Backend (Files Team) role at Databricks does not have a confirmed remote arrangement in our data. Check the employer description for its work location.

What type of employment is the Senior Software Engineer — Backend (Files Team) role?

Databricks is hiring for a full-time Senior Software Engineer — Backend (Files Team) position.

Which skills are mentioned for the Senior Software Engineer — Backend (Files Team) job at Databricks?

Detected skill labels include Kubernetes, Docker, AWS, GCP, Azure, Go, Rust, C++. Check the employer description to distinguish required skills from preferred experience.

How do I apply for the Senior Software Engineer — Backend (Files Team) position at Databricks?

You can apply for the Senior Software Engineer — Backend (Files Team) role directly through Databricks's official application link provided on this page.