P-1151
About the Team
The Jobs and Workflows teams power all asynchronous customer workloads for Databricks, including scheduled, triggered, and continuous usage. As this product has rapidly increased in popularity - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.
Outcomes
As a Sr. Staff Engineer on this team, you would be responsible for architecting the next generation of customer features for Data Engineering. This includes a suite of features for orchestrating and monitoring workflows based on both control flow and data flow. You would also be responsible for maintaining the existing frontend and backend of the workflow management component of Databricks.
What We Look For
- BS/MS/PhD in Computer Science, or a related field
- 10+ years of experience with Java, Scala, C++, JavaScript, or similar languages
- Passion for user experience and design and a deep understanding of full-stack architecture
- Comfortable working towards a multi-year vision with incremental deliverables
- Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
- Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++, Go, JVM)
- Good knowledge of SQL
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
- Experience in architecting, developing, deploying, and operating large-scale distributed systems
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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