Databricks

Software Engineer - Backend

Databricks
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2 months ago
Amsterdam, NetherlandsMid Level

Responsibilities

  • Build backend infrastructure and products for the Databricks platform at scale.
  • Develop distributed systems, service architecture, monitoring, workflow orchestration, and developer-experience solutions.
  • Deliver reliable, high-performance services and client libraries for storing and accessing data on cloud storage backends such as AWS S3 and Azure Blob Store.
  • Build scalable services using technologies such as Scala and Kubernetes.
  • Develop Spark and Databricks data pipelines and product features for platform-usage and pricing infrastructure.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related field.
  • At least 2 years of production-level experience with 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.

Benefits

  • Comprehensive benefits and perks are offered, with details varying by region.

Tech Stack

Categories

Databricks

About Databricks

10,000+ employees

Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.

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