AI Platform Engineer

Responsibilities

• Hands‑on Databricks administration on AWS, including Unity Catalog governance and enterprise integrations.
• Strong AWS foundation: networking (VPC, subnets, SGs), IAM roles and policies, KMS, S3, CloudWatch; EKS familiarity is a plus but not required for this Databricks‑focused role.
• Proficiency with Terraform (including databricks provider), GitHub, and GitHub Actions.
• Strong Python and SQL; experience packaging libraries and working with notebooks and repos.
• Experience with MLflow for tracking and model registry; experience with model serving endpoints preferred.
• Familiarity with Delta Lake, Auto Loader, Structured Streaming, and DLT.
• Experience implementing DevOps automation and runbooks; comfort with REST APIs and Databricks CLI.
• Git and GitHub proficiency; code review and branching strategies.

Seniority Level

Associate

Employment Type