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Staff Software Engineer (Money)

Databricks
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BengaluruFull-timePosted 8mo ago

About the role

Staff Software Engineer role in the Money team at Databricks India, focused on building and owning core governance and usage infrastructure that governs usage of all Databricks products, with emphasis on resource admission control, usage governance, and scalable infrastructure.

Responsibilities

  • Own Money systems and services that govern usage of all Databricks products and offerings.
  • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
  • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
  • Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
  • Represent Databricks at academic and industrial conferences & events.

Qualifications

  • BS/MS/PhD in Computer Science, or a related field
  • 12+ years of production level experience in one of: Java, Scala, C++, or similar language.
  • Comfortable working towards a multi-year vision with incremental deliverables.
  • Proven track record in architecting, developing, deploying, and operating large scale distributed systems.
  • Experience with software security and systems that handle sensitive data.
  • Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
  • A proactive approach and a passion for delivering high-quality solutions
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

Skills

Required:JavaScalaDistributed systemsSecurityCloud technologies
Nice to have:C++
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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