Sr. Software Engineer- Backend
Build backend infrastructure for Databricks’ AI platform, supporting model serving, agents, data apps, and vector search. The role requires 5+ years of backend or infrastructure engineering experience and strong Scala, Go, or Python skills, with expertise in distributed systems and scalable cloud services.
About the job
Responsibilities
- Build infrastructure powering 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 machine learning teams to deliver seamless end-to-end experiences.
- Shape how developers and data scientists build and interact with AI on Databricks.
Requirements
- 5+ years of experience in backend or infrastructure engineering.
- 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.
Nice-to-Haves
- Experience with real-time serving, machine learning infrastructure, or GPU orchestration.
- Exposure to SageMaker, Vertex AI, or Azure ML.
- Contributions to open-source projects such as MLflow, PyTorch, or Ray.
- Experience building developer platforms or internal tools supporting AI workflows.
Compensation
- Local pay range: $165,300–$219,675 USD.
- Total compensation may include an annual performance bonus, equity, and benefits.
Skills
Scala, Go, Python, Distributed Systems, Scalable Apis, Cloud-Native Infrastructure, Service-Oriented Architecture, Deployment Pipelines, Observability, Real-Time Serving, Machine Learning Infrastructure, Gpu Orchestration, SageMaker, Vertex Ai, Azure Ml
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