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Senior Software Engineer - Backend

Databricks
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Hybrid (Bengaluru)Posted 10mo ago

About the role

Backend-focused software engineering role at Databricks in Bengaluru, India. Build infrastructure for the Databricks platform at scale, contributor to backend systems, and improve developer efficiency across Rust-related tooling and platforms.

Responsibilities

  • - 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, including improvements to programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.
  • - Focus on optimizing the Rust development experience across the organization.

Qualifications

  • BS (or higher) in Computer Science, or a related field
  • 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
  • Experience developing large-scale distributed systems from scratch
  • Experience working on a SaaS platform or with Service-Oriented Architectures
  • Proficiency in one or more backend languages such as Java, Scala, or Go
  • Hands-on experience in developing and operating backend systems
  • Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members

Skills

Required:Backend programmingDistributed systemsSaaS / SOA

Benefits

  • See regional benefits documentation linked in job description.
Last updated Sep 17, 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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