Senior Software Engineer Backend AI ML Environments
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build systems that let AI and ML users configure reproducible training and serving environments. You will improve environment setup performance and observability, collaborate on platform features, and work with customers and product managers to shape new capabilities.
Requirements
- 5+ years of backend or infrastructure engineering experience
- 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
- Understanding of dependency-management, virtual-environment, or containerization technologies
Responsibilities
- Build infrastructure for reliable and reproducible AI and ML training and serving environments
- Collaborate with AI infrastructure teams to deliver customer features
- Improve virtual-environment setup performance
- Improve observability for debugging failed runs
- Interact with customers and product managers to identify improvements
- Shape how developers and data scientists interact with AI
Benefits
- Eligibility for an annual performance bonus
- Equity