Senior Backend Engineer — Scalable AI Infrastructure

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

Job summary

Databricks is hiring for a backend/infrastructure engineer to help scale our AI platform, powering MLflow, AI Gateway, and vector APIs across distributed systems. You will work with cross-functional teams to deliver high-performance, reliable services at scale.

The role requires 5+ years in backend or infra engineering, and strong coding ability in Scala, Go, or Python, plus experience with cloud-native architectures and observability.

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

Job description

Databricks is hiring for a backend/infrastructure engineer to help scale our AI platform, powering MLflow, AI Gateway, and vector APIs across distributed systems. You will work with cross-functional teams to deliver high-performance, reliable services at scale.

The role requires 5+ years in backend or infra engineering, and strong coding ability in Scala, Go, or Python, plus experience with cloud-native architectures and observability.