Job Description
We are looking for a Senior DevOps/MLOps Engineer 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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
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
Nice to Have Skills & Experience
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
Experience with observability and monitoring tools such as CloudWatch, Grafana, or Datadog
Knowledge of Unity Catalog best practices or enterprise data governance frameworks
Bachelor's degree in Computer Science, Engineering, or equivalent experience
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.