Staff Software Engineer, Compute Infrastructure

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RDQ427R175 At Databricks, we are passionate about helping data teams 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, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency. As a Staff Software Engineer and Tech Lead on the Compute Infra team, you will design and build the systems that power Databricks' compute infrastructure to enable engineers to quickly launch and scale world-class products. The impact you will have: Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset. Lead cross-team initiatives that span product and infrastructure surface areas. What we look for: BS (or higher) in Computer Science or related field 10+ years of experience designing and building large-scale distributed systems Strong proficiency in one or more languages such as Java, Scala, Go, or C++ Experience with service-oriented architectures and large scale distributed systems Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker) Track record of shipping infrastructure that supports mission-critical workloads at scale 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 - $225,600 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .

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