Staff Software Engineer- Public Sector

At Databricks, we are passionate about enabling data teams to solve

the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical

breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use

deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve

technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across

millions of virtual machines. And we're only getting started.

At Databricks, we don’t

just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud

provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software

Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence

Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments.

We are

looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the

distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale

infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive

data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the

end-to-end lifecycle of mission-critical code.

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 must hold a current TS/SCI clearance​ (either active or

currently held in an editable/re-activatable status within the 2-year window).

• Nice to have:​ Possession

of a current polygraph​ (Counterintelligence or Full Scope) is highly desired and considered a significant

plus.

• 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.

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.

​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.

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.

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.​