P-78

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

BenefitsAt 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.