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. 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.
Responsibilities
- Write software in Scala/Java.
- Build data pipelines using Apache Spark™ and Apache Kafka.
- Integrate with third-party applications.
- Interact with cloud APIs (AWS, Azure, CloudFormation, Terraform).
- Work on micro-services for the Databricks platform and product.
Requirements
- 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.
- 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.
Benefits
- Comprehensive benefits and perks.
- Eligibility for annual performance bonus.
- Equity options.
