Sr. Software Engineer

4 days ago

Århus, Århus Kommune, Denmark Databricks Full time 100,000 - 120,000 per year

P-1343

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

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

  • Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
  • Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
  • Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

  • 5+ years of professional software development experience.
  • Bachelor's degree or higher in Computer Science, a related field, or equivalent experience. 
  • Proficiency in one or more backend languages such as Java, Scala, or Go.
  • Hands-on experience in developing and operating large-scale, critical distributed backend systems.
  • Demonstrated leadership throughout all project phases, from inception and design to implementation and operations.
  • Self-driven and passionate with a strong focus on delivering impact through team collaboration.
  • Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.
  • Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.

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