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Staff Software Engineer - Backend
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ICT
💰 Salary Not shared
📊 Market 9,500 EUR–13,500 EUR/mo (114,000 EUR–162,000 EUR/yr)
About the Company
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's 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 we're only getting started. 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.
Responsibilities
- ● Work on problems that span from product to infrastructure including distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
- ● Deliver reliable and high performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends such as AWS S3 and Azure Blob Store.
- ● Build reliable, scalable services (e.g., Scala, Kubernetes) and data pipelines (e.g., Spark, Databricks) to power the pricing infrastructure that serves millions of cluster-hours per day, and develop product features that empower customers to easily view and control platform usage.
Requirements
- ● BS (or higher) in Computer Science or a related field.
- ● 7+ years of production level experience in Java, Scala, C++, or a similar language.
- ● Experience developing large-scale distributed systems.
- ● Experience working on a SaaS platform or with Service-Oriented Architectures.
- ● Good knowledge of SQL.
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