Senior Software Engineer Backend Files Team
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/25/2026
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and operate a filesystem platform for data, AI, and agentic workloads. You will optimize performance from APIs through the Linux kernel, help evolve compute and storage architectures, and set technical direction for filesystem primitives.
Requirements
- 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
- Strong understanding of AWS, Azure, or GCP internals
- Experience with filesystems and FUSE
- Experience building object or blob storage
- Systems performance engineering experience from microservices to Linux
- Background in high-scale content, storage, or file-sync products
Responsibilities
- Design, build, and operate the filesystem platform
- Optimize filesystem performance across the stack
- Partner on next-generation compute and storage architectures
- Set technical direction for filesystem primitives