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Staff Software Engineer - Backend

Databricks· Engineering
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San Francisco, CA$192k - $260kfull-timePosted 11mo ago

About the role

Backend-focused staff software engineer role at Databricks designing, building, and operating large-scale distributed systems and SaaS platform services using Scala/Java, with exposure to data pipelines, cloud APIs, and multi-cloud infrastructure.

Responsibilities

  • work closely with team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product
  • write software in Scala/Java
  • build data pipelines (Apache Spark™, Apache Kafka)
  • integrate with third-party applications
  • interact with cloud APIs (AWS, Azure, CloudFormation, Terraform)
  • contribute to various teams and domains such as Data Science and Machine Learning Infrastructure, Compute Fabric, Data Plane Storage, Enterprise Platform, Observability, Service Platform, Core Infra
  • help architect, develop, deploy, and operate large-scale distributed systems
  • ensure security and reliability of services at scale

Qualifications

  • BS/MS/PhD in Computer Science, or a related field
  • 10+ years of production level experience in Java, Scala, C++, or similar language
  • experience architecting, developing, deploying, and operating large scale distributed systems
  • experience with SaaS platforms or Service-Oriented Architectures
  • good knowledge of SQL
  • experience with software security and systems handling sensitive data
  • experience with cloud technologies (AWS, Azure, GCP, Docker, Kubernetes)

Skills

Required:Scala/JavaDistributed SystemsData PipelinesCloud PlatformsSQLSecurity

Benefits

  • Comprehensive benefits package per region (link provided in job description)
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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