Java Programming, Python Programming, Azure, AWS, Data science techniques, Google Cloud Platform (GCP), AI technology
Our engineering teams build 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 Senior Frontend Engineer, you will work closely with your team and product management to bring that delight through a great user experience. We are seeking engineers with a track record of being customer-obsessed, who can build an elegant user experience for the enterprise customers to process data at a massive scale. You'll set the foundation for how we build robust, scalable, and delightful products.
Below Are Some Example Teams You Can Join:
Clusters UI: Build the compute fabric powering all the workloads executed on the platform and the services necessary for managing Apache Spark workloads. The team also provides Databricks' customers with fast and easy ways to provision Spark clusters, and empower advanced use cases that enable cloud features, services, and data sources.
Delta Pipelines: The mission of this team is to enable customers to successfully deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. The UI is critical to the success of this product. It sets the tone for the simplicity and intuitiveness of configuring and monitoring these pipelines.
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. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the land and expand strategy for enterprise customers.
Redash: Provide a great SQL-centric data exploration and visualization experience on Databricks, leveraging Redash, the most popular open-source project in this area. With Redash, we enable Databricks users to explore, query, visualize and share data using SQL, to develop insights and make data-driven decisions without the need to master complex software
Workspace: The Databricks Workspace provides an interactive environment for collaborative data projects at massive scale with an easy path to production. Data engineers, analysts, ML practitioners, and data scientists use the workspace for the full lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. The Workspace is a SaaS service that is used by hundreds of thousands of data scientists daily.
What we look for:
Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala.
United States
2-4 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Mumbai, Maharashtra, India
6-8 year
United States
6-8 year
United States
6-8 year
United States
6-8 year
United States
6-8 year
Washington D.C., DC, USA
6-8 year
Los Angeles, CA, USA; Portland, OR, USA; Sacramento, CA, USA; San Diego, CA, USA; San Francisco, CA, USA; San Jose, CA, USA; Seattle, WA, USA
4-6 year
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
0-2 year
Bengaluru, Karnataka, India
2-4 year
Bengaluru, Karnataka, India
2-4 year
Amsterdam, Netherlands
0-2 year