Senior AI/ML Environments Engineer

Fdetimes; Mountain View (CA); On-site; USD 166,000 - 220,000; Full time

Job summary

Databricks is seeking an experienced backend/infrastructure engineer to empower ML and AI researchers to configure training and serving environments. You will build scalable infrastructure, APIs, and observability to support reliable, reproducible runs on the Databricks platform.

You will collaborate with AI infrastructure teams and product managers to envision new features, improve performance, and enhance customer experiences, shaping how developers and data scientists interact with AI on the

Qualifications

• 5+ years of experience in backend or infrastructure engineering with a focus on building systems.
• Strong programming skills in Python, Scala or Java.
• 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.
• Strong understanding of dependency management technologies including virtual environments or containerization technologies.

Responsibilities

• Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly.
• Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform.
• Interact with turnkey customers and product managers to envision new features and identify areas for improvement.
• Shape how developers and data scientists build and interact with AI on Databricks.

Skills

Backend engineering

Python

Scala

Java

Distributed systems

Cloud-native infra

APIs

Observability

Ownership mindset

Job description

Databricks is seeking an experienced backend/infrastructure engineer to empower ML and AI researchers to configure training and serving environments. You will build scalable infrastructure, APIs, and observability to support reliable, reproducible runs on the Databricks platform.

You will collaborate with AI infrastructure teams and product managers to envision new features, improve performance, and enhance customer experiences, shaping how developers and data scientists interact with AI on the