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Staff Software Engineer - Backend

Databricks· Engineering
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Vancouver, CanadaCA$173.4k - CA$238.4kfull-timePosted 11mo ago

About the role

Databricks is hiring a Staff Software Engineer - Backend in Vancouver, Canada to contribute to multiple strategic areas including Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps, with a focus on large-scale distributed systems, SaaS platforms, and cloud technologies.

Responsibilities

  • Contribute to design, development, and evolution of large-scale distributed backend systems.
  • Work towards multi-year visions with incremental deliverables.
  • Deliver customer value and impact through robust backend solutions.
  • Collaborate on cloud-native architectures and services (AWS/Azure/GCP, Docker, Kubernetes).
  • Contribute to security and handling of sensitive data within systems.
  • Possibly participate in shaping product direction and technical strategy across multiple teams (Log Analytics, AI/BI, Unity Catalog Semantics, Databricks Apps).

Qualifications

  • BS (or higher) in Computer Science, related technical field or equivalent practical experience.
  • 10+ years of production-level experience in Java, Scala, or C++.
  • Strong foundation in algorithms and data structures and their real-world use cases.
  • Experience developing large-scale distributed systems.
  • Experience working on a SaaS platform or with Service-Oriented Architectures.
  • Experience with cloud technologies (AWS, Azure, GCP), Docker, or Kubernetes.
  • Experience with security and systems that handle sensitive data.
  • Good knowledge of SQL.

Skills

Required:Backend development (Java/Scala/C++)Distributed systemsCloud technologies (AWS/Azure/GCP)Docker / KubernetesSecurity and data protection

Benefits

  • Benefits listed on regional page indicating comprehensive offerings (link provided).
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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