DevOps Engineer

Job Description We are seeking a DevOps Engineer with 5-8 years of experience to support the modernization and ongoing enhancement of ADP's Workforce Now (WFN) NextGen payroll platform. This individual will play a critical role in building and optimizing CI/CD pipelines, improving cloud-native application delivery, monitoring production systems, and strengthening disaster recovery capabilities within an AWS and Kubernetes environment. The ideal candidate brings strong Python development skills, hands-on experience managing end-to-end CI/CD processes, exposure to AI-assisted development tools and workflows, and expertise operating applications in AWS/EKS environments. This role will partner closely with software engineers, platform teams, and product stakeholders to improve deployment reliability, scalability, and operational efficiency. 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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements

• 5-8 years of DevOps Engineering experience
• Strong hands-on experience coding in Python
• Experience designing and managing CI/CD pipelines end-to-end
• Experience supporting applications in AWS cloud environments
• Hands-on experience with Amazon EKS (Elastic Kubernetes Service) and containerized applications
• Familiarity with AI-assisted coding platforms such as Claude, Amazon Q or CoPilot -Experience with Infrastructure as Code (Terraform, CloudFormation, or similar)
• Experience with Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD, or comparable pipeline technologies Insight Global