Sr Software Engineer -Public Sector
McLean, VA$155.9k - $214.4kPosted 6mo ago
About the role
Senior backend software engineer role on Databricks Public Sector team, focusing on core backend systems for the Data Intelligence Platform operating at scale in sovereign and air-gapped cloud environments.
Responsibilities
- Architect Scalable Systems: Design and implement highly available backend services using Scala, Java, Go, C++/C or similar.
- Distributed Systems Engineering: Design and implement highly scalable backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds.
- Infrastructure at Scale: Solve complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments.
- Performance Optimization: Drive "zero-waste" compute initiatives, optimizing our engine and services to perform in resource-constrained or specialized regions (e.g., GovCloud).
- Security & Reliability: Partner with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability.
Qualifications
- Candidates have active Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
- Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired.
- BS/MS/PhD in Computer Science or a related field.
- 6+ years of professional software development experience.
- Deep understanding of Distributed Systems, concurrency, and performance optimization.
- Strong production-level experience in at least one of: Java, Scala, Go, or C++.
- Experience building and deploying large-scale SaaS or cloud-native applications.
Skills
Required:Top Secret / SCI security clearanceDistributed SystemsJavaScalaGoC++Cloud-native applications
Nice to have:Polygraph
Last updated Oct 8, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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