Staff Software Engineer- Public Sector
Databricks5 months ago
Base Salary
$181k - $248k/yr
Responsibilities
- Design and implement highly available, scalable backend services using Scala, Java, Go, C++, C, or similar technologies.
- Build distributed systems powering the Data Intelligence Platform across sovereign and air-gapped clouds.
- Resolve architectural trade-offs involving concurrency, storage, and networking in high-consequence public sector environments.
- Optimize engines and services for zero-waste compute efficiency in resource-constrained and specialized regions such as GovCloud.
- Partner with Production Engineering to meet security, compliance, and high-availability requirements.
Requirements
- Eligibility for a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance is required.
- A BS, MS, or PhD in Computer Science or a related field is required.
- 9+ years of professional software development experience are required for the Staff level.
- Deep understanding of distributed systems, concurrency, and performance optimization is required.
- Strong production-level experience in Java, Scala, Go, C++, or a similar language is required.
- Experience building and deploying large-scale SaaS or cloud-native applications is required.
- A current counterintelligence or full-scope polygraph is highly desirable.
Benefits
- Benefits and perks are offered, with specific details varying by region.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).