Senior Software Engineer Backend

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build backend infrastructure for a large-scale platform. You may develop foundational infrastructure across regions and cloud providers, create cloud-agnostic abstractions, and improve engineering efficiency through developer tools, release pipelines, and test automation. You will lead work from design through operations and produce technical documentation that supports alignment and decisions.

Requirements

  • 5+ years of professional software development experience
  • Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience
  • Proficiency in Java, Scala, Go, or another backend language
  • Experience developing and operating large-scale critical distributed backend systems
  • Demonstrated leadership across all project phases
  • Strong written and verbal communication skills
  • Experience with infrastructure systems, security, sensitive data, Kubernetes, or cloud platforms such as AWS, Azure, or GCP

Responsibilities

  • Build foundational infrastructure platforms across geographic regions and cloud providers
  • Implement cloud-agnostic infrastructure abstractions
  • Develop tools and processes that improve engineering efficiency
  • Improve developer tooling, release pipelines, and test automation frameworks
  • Lead projects from inception and design through implementation and operations
  • Produce technical documentation that drives alignment and decision-making