Senior Software Engineer (Backend) - AI/ML Environments

## 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 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. ## Requirements - 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. ## Benefits - Competitive salary range: $166,000 - $220,000 USD - Equity and annual performance bonus eligibility - Comprehensive benefits package - Opportunities to work on cutting-edge AI infrastructure projects - Collaborative and innovative work environment About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.