Staff Software Engineer- Public Sector

P-1604

About Databricks

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.

The Role

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).
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