Senior Backend Engineer, AI Platform & Infra

Cacheflow; New York (NY); On-site; USD 165,000 - 220,000; Full time

Benefits offered by this job

Equity

Performance bonus

Benefits

Job summary

Databricks is hiring for backend engineers to build the infrastructure powering MLflow, AI Gateway, Databricks Apps, and AI Foundation Model APIs. You will work on scalable, low-latency systems and collaborate across platform, infra, and ML teams to enable data scientists and developers to build and run AI workloads.

The role requires 5+ years of backend experience and strong coding skills in Scala, Go, or Python.

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 Databricks 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

Scala

Go

Python

Distributed systems

APIs

Observability

Job description

Databricks is hiring for backend engineers to build the infrastructure powering MLflow, AI Gateway, Databricks Apps, and AI Foundation Model APIs. You will work on scalable, low-latency systems and collaborate across platform, infra, and ML teams to enable data scientists and developers to build and run AI workloads.

The role requires 5+ years of backend experience and strong coding skills in Scala, Go, or Python.