Staff Backend Engineer, AI Platform (Scala/Go/Python) Equity

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

Job summary

Databricks, based in San Francisco, is hiring for an AI Platform backend/infrastructure engineer. You will join a high-visibility team building the substrate powering data apps, AI agents, model training, serving, and vector search.

You’ll contribute to a portfolio including MLflow, AI Gateway, and Foundation Model APIs. The role emphasizes reliability, latency improvements, and collaboration with cross-functional platform, infra, and ML teams to deliver end-to-end experiences for developers and

Qualifications

• 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 — you care about building the right solution, not just any solution.

Responsibilities

• Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.
• 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

Distributed systems

Cloud-native infrastructure

APIs

Job description

Databricks, based in San Francisco, is hiring for an AI Platform backend/infrastructure engineer. You will join a high-visibility team building the substrate powering data apps, AI agents, model training, serving, and vector search.

You’ll contribute to a portfolio including MLflow, AI Gateway, and Foundation Model APIs. The role emphasizes reliability, latency improvements, and collaboration with cross-functional platform, infra, and ML teams to deliver end-to-end experiences for developers and