Staff Software Engineer Infrastructure
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 9/23/2026
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 solve infrastructure and product challenges involving distributed systems, service architecture, monitoring, workflow orchestration, and developer experience. You will build reliable services and client libraries for cloud storage, as well as scalable services and data pipelines supporting platform pricing and usage controls.
Requirements
- BS or higher in Computer Science or a related field
- 12+ years of production-level experience with Python, Java, Scala, C++, or a similar language
- 6+ years developing large-scale distributed systems from scratch
- Experience with a SaaS platform or service-oriented architectures
- Infrastructure-project experience is a plus
Responsibilities
- Solve distributed-systems, service-architecture, monitoring, orchestration, and developer-experience challenges
- Deliver reliable, high-performance services and client libraries for cloud storage
- Build scalable services and data pipelines for pricing infrastructure
- Develop product features that help customers view and control platform usage