At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their own missions. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform). Some example teams you can join: Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. Data Plane Storage: Deliver reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. Observability: Provide a world-class platform for Databricks engineers to comprehensively observe and introspect their applications and services. Service Platform: Build high-quality services and manage the services in all environments in a unified way. Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. Competencies: BS/MS/PhD in Computer Science, or a related field 10+ years of production-level experience in one of: Java, Scala, C++, or similar language Comfortable working towards a multi-year vision with incremental deliverables Experience in architecting, developing, deploying, and operating large-scale distributed systems Experience working on a SaaS platform or with Service-Oriented Architectures Good knowledge of SQL Experience with software security and systems that handle sensitive data Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes. Pay Range Transparency: 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.