MLOps Engineer

Databricks·San Francisco, CA

DevOps/MLOpsSeniorFull-timeRemote

$180K-$300KPosted 27 Feb 2026

About the Role

Databricks is hiring an MLOps Engineer to build and scale ML platform capabilities on the Lakehouse. You will develop tools for model lifecycle management, feature stores, and automated ML pipelines used by thousands of enterprise data teams.

Requirements

5+ years of experience in MLOps, DevOps, or platform engineering
Strong proficiency in Python and Spark
Experience with MLflow or similar ML lifecycle tools
Knowledge of cloud platforms (AWS, Azure, or GCP)
Experience building CI/CD pipelines for ML workflows

Nice to Have

Experience with Databricks Unity Catalog
Background in data engineering
Familiarity with model monitoring and drift detection
Experience with feature store implementations

Benefits

Pre-IPO equity

Premium healthcare coverage

Remote-first policy

$4,000 annual WFH stipend

Generous parental leave

Unlimited PTO

Skills

MLOpsPythonSparkMLflowCloudCI/CD

This listing was posted on 2026-02-27 and is almost certainly closed. It is kept for reference — check the employer’s own careers page for current openings.

Visit Databricks

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