Senior Backend Engineer, AI Infrastructure & Scale

Menlo Ventures; San Francisco (CA); On-site; USD 166,000 - 225,000; Full time

Job summary

Databricks is hiring across multiple AI Engineering teams to build the substrate for AI workloads, including data apps, model training, serving, and vector search. You’ll work in a high-agency, high-visibility team shaping how developers interact with AI on our platform.

The role requires 5+ years in backend or infrastructure engineering with strong skills in Scala, Go, or Python and experience with distributed systems and cloud-native infra.

Qualifications

• 5+ years of backend or infrastructure engineering experience.
• Strong programming in Scala, Go, or Python.
• Experience with distributed systems, scalable APIs, or cloud-native infrastructure.

Responsibilities

• Build infrastructure powering MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs.
• Improve reliability, latency, and efficiency of distributed AI workloads.
• Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences.
• Shape how developers and data scientists build and interact with AI on Databricks.

Skills

Scala/Go/Python

Job description

Databricks is hiring across multiple AI Engineering teams to build the substrate for AI workloads, including data apps, model training, serving, and vector search. You’ll work in a high-agency, high-visibility team shaping how developers interact with AI on our platform.

The role requires 5+ years in backend or infrastructure engineering with strong skills in Scala, Go, or Python and experience with distributed systems and cloud-native infra.