About the position
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. 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. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Database Platform is responsible for provisioning and managing the thousands of databases across all three cloud providers (Azure, AWS, GCP) in regions around the world that underpin the majority of Databricks’ real-time services. The team is in the process of adopting an open source distributed SQL engine to ensure high availability, scalability, and performance of all databases across all cloud platforms. This is a mission-critical service which is held to the highest standards regarding operational rigor and performance. We're looking for a Staff Engineer to join our team. This role requires driving innovation in a mission-critical environment, while also nurturing and ensuring the operational excellence of multiple teams.
Requirements
- BS/MS/PhD in Computer Science, or a related field
- 5+ years experience working in distributed systems, or database/storage technologies
- Experience in designing, developing, deploying, and operating large scale distributed systems.
- Experience working on a IaaS, PaaS, or SaaS platform.
- 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.
Benefits
- Comprehensive benefits and perks that meet the needs of all employees
- Eligibility for annual performance bonus
- Equity
