Staff Software Engineer - Fullstack
Staff Software Engineer - Fullstack
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Job Description
Databricks is on a mission to simplify and democratize data and AI from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed we leap at every opportunity to solve technical challenges from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And were only getting started.
As a Fullstack software engineer you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed who can take on the full scope of the product and user experience beyond the technical implementation. Youll set the foundation for how we build robust scalable and delightful products.
Vancouver will be the newest R&D center for Databricks expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data AI.
We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start were bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below including:
- Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline including ingestion indexing processing and the user experience itself.
- AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions the products we are building involve exciting technical challenges across the entire stack.
- Unity Catalog Business Semantics - Context is everything for AI. For enterprise data that context needs to be governed and managed which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability Unity Catalog Metrics this past Data AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems data modeling governance and AI enablement.
- Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks used by more than 2500 customers who have created more than 20000 apps and it was only GAed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s networking) owns fundamental tech (apps runtime and proxy) and is heavily investing in app builder AI agents.
What we look for:
- 10 years of experience with HTML CSS and JavaScript.
- Passion for user experience and design and a deep understanding of front-end architecture.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value.
- Experience with modern JavaScript frameworks (e.g. React Angular or VueJs/Ember).
- 10 years of experience with server-side web technologies (eg: Java Python Scala C# CGo).
- Good knowledge of SQL.
- Experience with cloud technologies e.g. AWS Azure GCP Docker or Kubernetes.
- Experience developing large-scale distributed systems.
Required Experience:
Staff IC
Employment Type
Full-Time
