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# DevOps Engineer

- **Company:** Insight Global
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $149,760.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Amazon Web Services, Microsoft Azure, Unix, Ubuntu (Operating System), Cloud Computing, Continuous Integration, Linux, DevOps, Github, Red Hat Enterprise Linux, Reliability Engineering, SUSE Linux Enterprise Servers, Software Configuration Management, Scripting, Kubernetes, Information Technology, Software Version Control, Devsecops, Docker, Jenkins, Artifactory
- **Published:** November 1, 2026
- **Apply:** https://dejobs.org/x/x/0EF4ABD620C349AFB05A0972D94997A5/job/

## About the Role

* 7+ years of DevOps Engineering experience
 * Experience using advanced software configuration management (source control, devops, ci/cd, etc)
 * Proficiency in Linux (any current distro, Red Hat Enterprise Linux / RHEL, Ubuntu, SLES) or Unix operation systems and Windows
 * Proficiency with Python scripting
 * Experience using 3rd party tools (Artifactory, Jenkins, GitHub, etc)
 * Excellent communication/documentation skills for both technical and nontechnical audiences
 * Experience with cloud infrastructure technologies such as: Kubernetes, Docker, AWS, Azure, GKE, or GCP Bachelor's Degree in Computer Science, Engineering, applicable degree, or equivalent work experience

## Description

Insight Global is looking for a DevOps Engineer to help support one of our large automotive customers. In this position you'll be involved in cross-enterprise initiatives and large-scale vehicle and product launches driving Site Reliability Engineering (SRE) and DevSecOps principles, culture, tools, and processes. Responsibilities that entail: * Support and develop automation solutions that enable our product teams to build and deploy code efficiently and consistently * Ensure that Ford systems have reliability and availability appropriate for customer needs * Encourage tool adoption to help teams with their observability and automation needs * Leverage and recommend cloud technologies that result in fast provisioning and appropriate reliability * Perform root cause analysis of development and production issues * Design procedures for system troubleshooting and maintenance