Staff Software Engineer - Storage I/O
Staff-level engineer on Databricks' Runtime team in Amsterdam, building next-generation distributed data storage and processing systems that aim to outperform specialized SQL engines. Day-to-day work centers on Java, Scala, or C++, distributed systems, databases, and big data technologies like Apache Spark.
- Compensation
- Not disclosed
- Location
- Amsterdam, Netherlands
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Software engineering
- Posted
Skills
Must have
- BS (or higher) in Computer Science, related technical field, or equivalent practical experience
- Comfortable working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value and impact
- 8+ years of production-level experience in Java, Scala, or C++
- Strong foundation in algorithms and data structures and their real-world use cases
- Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop)
Full description
P-1325
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.
Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines.
What we look for:
- BS (or higher) in Computer Science, related technical field or equivalent practical experience.
- Comfortable working towards a multi-year vision with incremental deliverables.
- Motivated by delivering customer value and impact.
- 8+ years of production level experience in either Java, Scala or C++.
- Experience with low level systems (OS, network stacks, CPU optimizations).
- Strong foundation in algorithms and data structures and their real-world use cases.
- Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
**Benefits
**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.