Senior AI Platform Ops Engineer
Core
Own critical platform operations and drive engineering excellence for the Databricks environment, leading reliability initiatives and AI agent connectivity.
Role type
Senior IC platform operations engineer (Databricks/MLOps)
Builds
Enterprise data platforms, AI agent ecosystems, and automated CI/CD pipelines
Domain
Cloud data engineering and MLOps
Deliverable
production ML models
Required skills
Databricks platform administration, Unity Catalog governance, Terraform, CI/CD pipeline development, AWS, Delta Lake architectures, MCP server integrations, incident response, root cause analysis
Preferred skills
Active Databricks certifications, enterprise observability solutions (Dynatrace), project tracking (Jira/Confluence)
Technologies
Databricks, Terraform, GitHub Actions, AWS, Dynatrace, Jira, Confluence, MCP
Responsibilities
Lead end-to-end platform operations and workspace administration for Databricks; Architect and implement automated CI/CD pipelines using Databricks Asset Bundles (DABs), GitHub Actions, and Terraform; Drive organization-wide Unity Catalog adoption by establishing metastore configurations, tagging strategies, and access policy frameworks; Design and deploy Model Context Protocol (MCP) server integrations to safely connect enterprise data platforms with AI agent ecosystems; Establish self-service automation tools, operational standards, and cost optimization practices; Lead incident response efforts and execute root cause analyses
Seniority
Senior, hands-on IC