Senior Software Engineer (Backend) - AI/ML Environments
Databricks· Engineering
Mountain View, CA$166k - $220kfull-timePosted 11mo ago
About the role
Senior backend/infrastructure engineer role focused on building the ML/AI Environments infrastructure to configure training and serving environments for ML/AI users, as part of Databricks Mosaic AI initiatives.
Responsibilities
- 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 features that customers need to get more from the Databricks platform (e.g., improving performance for virtual environments, improving observability for debugging runs).
- 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.
Qualifications
- 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.
Skills
Required:Backend engineeringPythonDistributed systems
Nice to have:ScalaJava
Benefits
- Benefits details available via regional link (see 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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