Sr. Devops Engineer

at Insight Global in Westbrook, Maine, United States

Job Description

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/.

Skills and Requirements

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 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