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# Senior Software Engineer (Backend) - AI/ML Environments

- **Company:** Databricks
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $166,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Computer Programming, Software Debugging, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Service-Oriented Architecture, Virtualization Technology, AI Infrastructure, Data Processing, Cloud Platform System, Delivery Pipeline, Virtual Environment, Backend, Containerization, Restful APIs, Databricks
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=220213d85a038eca

## About the Role

Do you have experience in Virtualization?, * 5+ years of experience in backend or infrastructure engineering with a focus on building systems

 * Strong programming skills in Python, Scala or Java
 * Experience with distributed systems, scalable APIs, or cloud-native infrastructure
 * Familiarity with service-oriented architecture, deployment pipelines, and system observability
 * Strong product and ownership mindset - you care about building the right solution, not just any solution
 * Strong understanding of dependency management technologies including virtual environments or containerization technologies.

Pay Range Transparency

## Description

* Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly.
 * Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc.
 * Interact with turnkey customers and product managers to envision new features and identify areas for improvement.
 * Shape how developers and data scientists build and interact with AI on Databricks.


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