Senior Backend Engineer, AI Platform Infra

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

Job summary

Databricks is seeking a senior backend/infrastructure engineer to help power our AI platform and data/AI workloads at scale. You will work on scalable systems supporting MLflow, AI APIs, and enterprise data apps across thousands of machines.

You will collaborate with platform, infra, and ML teams to improve reliability, latency, and throughput, and you will shape end-to-end experiences for developers and data scientists building AI solutions on Databricks.

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.
• 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

5+ years experience

Scala

Go

Python

Distributed systems

Job description

Databricks is seeking a senior backend/infrastructure engineer to help power our AI platform and data/AI workloads at scale. You will work on scalable systems supporting MLflow, AI APIs, and enterprise data apps across thousands of machines.

You will collaborate with platform, infra, and ML teams to improve reliability, latency, and throughput, and you will shape end-to-end experiences for developers and data scientists building AI solutions on Databricks.