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At Databricks we are obsessed with enabling data teams to solve the worlds toughest problems from security threat detection to cancer drug development. We do this by building and running the worlds best data and AI infrastructure platform so our customers can focus on the highvalue challenges that are central to their own missions.
The SWAP team (Secure Workload Automated Platform) is redefining how data and AI workloads are defined secured deployed and automated across regions clouds and compliance boundaries. They are building the platform for globalscale data AI secure by default portable by design.
If you care about platform thinking multicloud scale and great developer experience wed love to talk.
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 missioncritical workloads making us one of the fastest growing SaaS companies in the world.
We develop and operate one of the largest 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 microservices for the Databricks platform and product. This implies among others writing software in Scala/Java building data pipelines (Apache Spark Apache Kafka) integrating with thirdparty applications and interacting with cloud APIs (AWS Azure CloudFormation Terraform).
Competencies
Required Experience:
Staff IC
Full-Time