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As a Staff Software Engineer at Databricks, you will drive design decisions, develop new features, mentor junior engineers, and ensure production stability. You will work on enhancing the data and AI infrastructure platform, contributing to the Lakehouse vision through technical design documents and incremental deliverables.

As a Fullstack Software Engineer at Databricks, you will design and build modern SaaS products, enhance user experience, and work with cross-functional teams to develop scalable solutions for various data-related products, including SQL Analytics and workload management.

As a Staff Software Engineer at Databricks, you will work on backend systems, tackling challenges related to distributed systems, service architecture, and monitoring while building scalable services and client libraries for large data storage and access on cloud platforms.

The Staff Software Engineer - Backend will work on building and maintaining high-performance services and libraries for data storage and access. Responsibilities include solving infrastructure challenges, developing product features for cloud storage backends, and contributing to large-scale distributed systems.

As a Sr Engineering Manager at Databricks, you will lead engineering teams in building infrastructure and products for data and AI at scale. Your responsibilities include team management, establishing high technical standards, ensuring collaboration across teams, and developing innovative features. You will also focus on hiring and mentoring engineering talent to foster a culture of excellence.

As a Senior Software Engineer at Databricks, you'll work on backend systems and distributed data solutions, developing scalable services and contributing to the architecture that powers the pricing infrastructure. You will collaborate with product management to enhance user experience as a full stack engineer.

As a Senior Software Engineer at Databricks, you will work closely with teams to design and develop full-stack solutions, enhance user experience, and modernize SQL Analytics and Jobs and Workflows products while leveraging cloud technologies and distributed systems.