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# Senior AI Platform Ops Engineer

- **Company:** ECHOSTAR
- **Location:** Englewood, CO, United States
- **Experience:** Expert
- **Salary:** $116,875.0 - $158,125.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Github, Enterprise Data Management, Git, Data Lakes, AI Platforms, Infrastructure Automation Frameworks, Information Technology, Atlassian Tools, Machine Learning Operations, Virtual Agents, Model Context Protocol, Terraform, Dynatrace, Databricks
- **Published:** October 31, 2026
- **Apply:** https://www.juju.com/job/15_20433da4

## About the Role

* Deep expertise in Databricks platform administration, Delta Lake architectures, and Unity Catalog governance frameworks
 * Advanced proficiency with Infrastructure-as-Code tools, CI/CD pipeline development, and cloud infrastructure management using Terraform, Git, and AWS
 * Strong AI Application and Literacy skills, including hands-on familiarity with Model Context Protocol (MCP) server integrations and MLOps practices
 * Demonstrated ability to lead incident response efforts, execute root cause analyses, and drive continuous improvement through blameless post-mortems
 * Excellent technical leadership, cross-functional collaboration, and communication abilities to mentor engineering teams and influence architecture decisions

Additional Qualifications:

 * Active Databricks certifications, such as Data Engineer Associate/Professional or Platform Administrator
 * Background in enterprise observability solutions using Dynatrace along with project tracking via Jira and Confluence

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session., * Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a related field

 * Minimum Experience: 5+ years of experience in platform engineering, DevOps, or cloud operations roles
 * Required Technical Skills: Must have at least 3 years of experience with:
 * Databricks production administration and workspace management
 * Unity Catalog setup, metastore configuration, and access control enforcement
 * Terraform and CI/CD automation for cloud or data platform deployments

## Description

* Lead end-to-end platform operations and workspace administration for Databricks to maximize reliability and performance
 * Architect and implement automated CI/CD pipelines using Databricks Asset Bundles (DABs), GitHub Actions, and Terraform for seamless workspace provisioning
 * 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 to reduce intake friction and resource overhead