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Sr. Software Engineer - Backend

Databricks
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Aarhus, DenmarkPosted 11mo ago

About the role

Backend-focused software engineer role at Databricks, building infrastructure for the Databricks platform at scale and improving developer experience across languages, tooling, and cloud platforms.

Responsibilities

  • Building foundational infrastructure platforms enabling operation across multiple regions and cloud providers.
  • Developing cloud-agnostic infrastructure abstractions to help engineers manage and operate services.
  • Developing tools and processes to drive engineering efficiency, including improvements to programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.
  • Optimizing the Rust development experience across the organization.

Qualifications

  • 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.

Benefits

  • Comprehensive benefits and perks; region-specific details available via provided link.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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