Staff Backend Software Engineer AI Platform
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/23/2026
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 supporting AI applications, agents, model training, model serving, and vector search. You will improve distributed AI workload reliability, latency, and efficiency, collaborate with platform, infrastructure, and ML functions, and shape AI experiences for developers and data scientists.
Requirements
- 5+ years of backend or infrastructure engineering experience
- Strong programming skills 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
- Strong product and ownership mindset
Responsibilities
- Build infrastructure for MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs
- Improve the reliability, latency, and efficiency of distributed AI workloads
- Collaborate with platform, infrastructure, and ML teams to deliver end-to-end experiences
- Shape how developers and data scientists build and interact with AI
Benefits
- Annual performance bonus eligibility
- Equity eligibility