The Impact You’ll Have
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.
What We Look For
Required: Candidates have active Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.
Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus.
Technical Breadth: BS/MS/PhD in Computer Science or a related field.
Experience: Staff : 9+ years of professional software development experience.
Systems Expertise: Deep understanding of Distributed Systems, concurrency, and performance optimization.
Language Proficiency: Strong production-level experience in at least one of: Java, Scala, Go, C++ or similar.
Cloud Experience: Experience building and deploying large-scale SaaS or cloud-native applications.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$180,500—$248,150 USD
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 70% of the Fortune 500 — rely on the Databricks Data + AI Platform 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 platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
