Staff Software Engineer
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
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 own product or infrastructure direction, deliver scalable and fault-tolerant systems, debug and optimize production clusters, and lead complex technical projects. You will mentor engineers, plan work, and drive organization-wide engineering initiatives.
Requirements
- 12+ years of industry experience building and supporting large-scale distributed systems
- Distributed systems
- Algorithms
- Data structures
- Customer satisfaction
Responsibilities
- Deliver scalable, available, and fault-tolerant data-processing systems
- Debug, measure, and optimize performance on production clusters
- Design architecture and influence product roadmaps
- Prevent and investigate production issues
- Plan and lead complex cross-team technical projects
- Lead engineering review committees or organization-wide initiatives
- De-risk complex problems through prototyping and validation
- Mentor engineers and lead sprint and project planning