Senior Backend Engineer, AI Platform & ML Infra

Aimlroles; Mountain View (WY); On-site; USD 166,000 - 225,000; Full time

Job summary

Databricks is hiring across AI Platform to build the substrate powering data apps, AI agents, model training, and vector search. You will work on high-visibility infrastructure enabling scalable AI workloads and seamless developer experiences.

The role emphasizes backend and infrastructure engineering with a focus on reliability, performance, and end-to-end ownership of platforms used by data scientists and engineers.

Qualifications

• 5+ years of backend or infrastructure engineering experience.
• Proficient in Scala, Go, or Python.
• Experience with distributed systems and scalable APIs.
• Familiarity with service-oriented architecture and deployment pipelines.
• Strong observability practices and ownership mindset.

Responsibilities

• Build infrastructure powering Databricks offerings (MLflow, AI Gateway, Agent Framework, etc.).
• Improve reliability, latency, and efficiency of distributed AI workloads.
• Collaborate with platform, infra, and ML teams for end-to-end experiences.
• Shape how developers and data scientists interact with AI on Databricks.

Skills

Scala

Go

Python

Distributed systems

APIs

Observability

Deployment pipelines

Ownership mindset

Job description

Databricks is hiring across AI Platform to build the substrate powering data apps, AI agents, model training, and vector search. You will work on high-visibility infrastructure enabling scalable AI workloads and seamless developer experiences.

The role emphasizes backend and infrastructure engineering with a focus on reliability, performance, and end-to-end ownership of platforms used by data scientists and engineers.