Staff Backend Software Engineer
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 infrastructure for AI applications, agents, model training, model serving, and vector search. You will improve distributed-workload reliability, latency, and efficiency, collaborate on end-to-end platform experiences, and shape developer and data-scientist AI workflows.
Requirements
- 5+ years of backend or infrastructure engineering experience.
- Programming proficiency in Scala, Go, or Python.
- Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
- Familiarity with service-oriented architecture, deployment pipelines, and system observability.
Responsibilities
- Build infrastructure for AI platform offerings.
- Improve reliability, latency, and efficiency for distributed AI workloads.
- Collaborate to deliver end-to-end platform experiences.
- Shape AI workflows for developers and data scientists.
Benefits
- Annual performance bonus eligibility.
- Equity eligibility.