← Back to results

Senior Software Engineer — Backend (Files Team)

Innovate on the Files team at Databricks, shaping the filesystem strategy for next-generation AI workloads.

Location
San Francisco, California
Compensation
$166k–$225k/yr
Level
senior
Type
full time

Posted by employer 1 day ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

What you'll build

  • Design and build the filesystem platform
  • Optimize filesystem performance
  • Partner with teams to evolve compute and storage architectures
  • Set technical direction for content organization
  • Standardize filesystem primitives

Must have

  • Bachelor's degree in Computer Science or related field
  • 5+ years of production-level experience in Java, Scala, C++, Go, Rust, or similar language
  • 3+ years of experience developing large-scale distributed systems
  • Experience with Kubernetes, Docker, or MicroVM technologies
  • Experience with filesystems and FUSE

Nice to have

  • Experience building object/blob storage
  • Background in high-scale content, storage, or file-sync products

AI in the day-to-day

The filesystem is foundational for AI agents, used for context, memory management, and interaction between systems.

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: work arrangement, visa sponsorship.

Joblaze summary

In the role of Senior Software Engineer on the Files team at Databricks, the individual will focus on designing and optimizing a filesystem platform that supports a wide range of data and AI workloads. Key skills include proficiency in languages like Java or Scala, experience with distributed systems, and familiarity with container technologies such as Kubernetes. This position is ideal for seasoned engineers with a strong background in storage solutions and performance engineering, particularly those who have worked on high-scale content or file-sync products.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 3, 2026. Last confirmed on Databricks's careers page October 3, 2026.
  • Salary band is in line with the typical range for Backend roles (median ~$180,000).
  • Starts above 44% of 121 comparable senior backend roles in United States that list Go we track (median $170,000 across 45 companies). See Go salary trends
  • Go appears in 31.1% of 505 comparable senior backend roles in United States; microVM appears in 0.2% of 505 comparable senior backend roles in United States.

Quick facts

What's the salary range?
Databricks lists $166,000–$225,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Software Engineer — Backend (Files Team) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Docker, FUSE, Go, Java, Kubernetes.
What seniority level is this role?
Databricks targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Software Engineer — Backend (Files Team) role at Databricks.

From the original posting

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

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Similar positions

Databricks
Senior Software Engineer - Backend
Databricks · Mountain View, California
Databricks
Senior Software Engineer - Backend
Databricks · San Francisco, California
Databricks
Senior Software Engineer - Backend
Databricks · Amsterdam, Netherlands
Databricks
Sr. Software Engineer - Backend
Databricks · Aarhus, Denmark
Databricks
Senior Software Engineer (App-Framework)
Databricks · Bengaluru, India