Senior DevOps/ MLOps Engineer

Introduction

We are looking for a professional to join our AI Enablement team within the Data and AI COE on a contract basis. In this role, you will work directly with our data engineering, ML engineering, and data science teams to help them effectively build and operate on our enterprise Databricks environment on AWS. You will contribute to platform reliability, automation, and CI/CD workflows, and serve as a hands-on technical resource for practitioners across these teams.

Required Skills & Qualifications

• 4-7 years of experience in DevOps, platform engineering, or cloud infrastructure
• Hands-on experience with Databricks — including Unity Catalog, workspace administration, cluster policies, service principals, and permission models
• Solid AWS experience — IAM, S3, EC2, VPC — with experience integrating cloud services with data platforms
• Working experience with Terraform and scripting in Python and/or Bash
• Experience with CI/CD tools such as GitHub Actions or Jenkins; familiarity with Databricks asset bundle deployment workflows
• Strong troubleshooting skills and ability to work effectively within a directed, team-based environment
• Prior work experience at client or in client's Industry
• Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications

• Experience with the Databricks SDK (Python) and Databricks REST APIs
• Familiarity with FinOps or cost management practices for cloud data platforms
• Background supporting MLOps patterns or data science/ML workloads on Databricks

Day-to-Day Responsibilities

• Support day-to-day administration of the Databricks platform, including workspace operations, Unity Catalog, cluster and compute management, and environment maintenance
• Provide hands-on technical support for engineering, data science, and analytics teams using Databricks
• Contribute to infrastructure-as-code efforts using Terraform and the Databricks CLI
• Support CI/CD pipelines for asset bundle deployments and job workflows
• Assist with cost management and FinOps practices
• Contribute to platform monitoring efforts
• Participate in troubleshooting complex platform issues
• Support AWS cloud infrastructure tasks for the AI Enablement team
• Execute work within priorities and direction set by the platform lead
• Maintain and update platform documentation to reflect current configurations and operational procedures

For immediate consideration please click APPLY to begin the screening process with Alex.