Staff Software Engineer Public Sector
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 design, build, and scale distributed backend systems for sovereign and air-gapped cloud environments. You will optimize storage, networking, concurrency, and compute efficiency; build resilient low-latency services; and ensure systems meet security, compliance, and availability requirements.
Requirements
- Current TS/SCI clearance, active or eligible for reactivation within two years
- BS, MS, or PhD in Computer Science or a related field
- 9+ years of professional software development experience
- Deep understanding of distributed systems, concurrency, and performance optimization
- Production experience with Java, Scala, Go, C++, or similar languages
- Experience building and deploying large-scale SaaS or cloud-native applications
Responsibilities
- Design and implement highly available backend services
- Build scalable distributed systems for sovereign and air-gapped clouds
- Solve concurrency, storage, and networking architectural trade-offs
- Optimize compute efficiency and service performance
- Ensure backend services meet security, compliance, and availability requirements
Benefits
- Annual performance bonus eligibility
- Equity