Databricks

Staff Software Engineer - Backend

Databricks
onsite staff full-time Amsterdam, Netherlands
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First indexed 18 Apr 2026

Description

At Databricks, we are building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

Our backend teams span many domains across our essential service platforms. You might work on challenges such as:

  • Distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
  • Delivering reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
  • Building 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.

We look for:

  • A Bachelor's degree (or higher) in Computer Science, or a related field.
  • 7+ years of production-level experience in one of: Java, Scala, C++, or similar languages.
  • Experience developing large-scale distributed systems.
  • Experience working on a SaaS platform or with Service-Oriented Architectures.
  • Good knowledge of SQL.

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.

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.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8029674002