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Senior Software Engineer (Money)

Databricks
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Bengaluru, IndiaPosted 8mo ago

About the role

Senior Software Engineer focusing on Money systems at Databricks India, building the resource admission control and usage governance infrastructure to support Databricks’ products and offerings, with impact across abuse prevention, product commercialization motions, and scalable governance.

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.
  • Contribute to long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

Qualifications

  • BS (or higher) in Computer Science, or a related field
  • 7+ years of production level experience in one of: Java, Scala, C++, or similar language
  • Comfortable working towards a multi-quarter vision with incremental deliverables
  • Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
  • Experience with software security and systems that handle sensitive data
  • Demonstrated ability to lead engineering projects 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:Programming in Java/Scala/C++Distributed systemsCloud technologies

Benefits

  • Benefits details available via regional link 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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