AI Databricks Platform Engineer (AWS ,CI/CD scripting
Job in
Englewood, Arapahoe County, Colorado, 80151, USA
Listed on 2026-08-11
Listing for:
NextGen | GTA: A Kelly Telecom Company
Full Time
position Listed on 2026-08-11
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, SRE/Site Reliability, AWS
Job Description & How to Apply Below
We are seeking an experienced Agentic AI Engineer to join a high-performing engineering team responsible for building and scaling Echo Star's enterprise Databricks platform on AWS. This role focuses on supporting production analytics, machine learning, and AI workloads by administering Databricks environments, automating infrastructure, and ensuring platform security and governance.
The ideal candidate has strong hands-on experience with Databricks administration
, cloud infrastructure, automation, and Dev Ops practices. AI platform or ML Ops experience is a plus but not required.
- Administer and maintain Databricks work spaces in a production environment.
- Configure and manage clusters, jobs, and Unity Catalog.
- Automate infrastructure deployment using Terraform and Infrastructure-as-Code principles.
- Build and maintain CI/CD pipelines for Databricks deployments.
- Support enterprise data governance, security, and access controls.
- Configure AWS cloud services including IAM, S3, and VPC.
- Develop automation scripts using Python and/or Bash.
- Support AI platform integrations and machine learning infrastructure.
- Monitor platform performance, reliability, and operational health.
- Collaborate with engineering teams to support enterprise Databricks migration initiatives.
- Document platform standards and contribute to operational best practices.
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
- 3+ years of production experience administering Databricks environments.
- Strong knowledge of Databricks workspace management, cluster administration, and job orchestration.
- Experience with Unity Catalog administration and governance.
- Hands-on experience with Terraform or similar Infrastructure-as-Code tools.
- Experience with AWS services including IAM, S3, and VPC.
- Strong Python and/or Bash scripting skills.
- Experience building and maintaining CI/CD pipelines.
- Strong troubleshooting, communication, and collaboration skills.
- Willingness to work 100% onsite and attend an onsite interview.
- ML Ops or AI Platform Engineering experience.
- Experience with Databricks Asset Bundles.
- Familiarity with AI Agent frameworks or Model Context Protocol (MCP).
- Experience with Retrieval-Augmented Generation (RAG).
- Experience working in regulated enterprise environments.
Background supporting machine learning or AI infrastructure.
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