Senior Software Engineer - Infrastructure and Tools
San Francisco, CA$166k - $225kfull-timePosted 11mo ago
About the role
Senior Software Engineer on the Infrastructure teams building scalable systems to power the Databricks platform, including multi-cloud systems, Kubernetes clusters at scale, storage, API gateways, CI/CD, security, and developer tooling.
Responsibilities
- Build and extend components of the core Databricks infrastructure
- Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers
- Improve software development workflows for engineering and operational efficiency
- Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement
- Develop automated build, test, and release infrastructures
- Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging
Qualifications
- BS (or higher) in Computer Science, or a related field
- 5+ years of experience writing production code in one of: Java, Scala, Go, C++ or Python
- Passion for building highly scalable and reliable infrastructure
- Experience architecting, developing and deploying large-scale distributed systems at scale
- Experience with cloud APIs (e.g., AWS, Azure, GCP or advanced private cloud)
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes, or Terraform.
Skills
Required:JavaScalaGoC++Python
Benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Employee Assistance Program (EAP)
- Business travel accident insurance
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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