Sr DevOps Engineer

Job Description We are seeking an Engineer with strong experience in Kubernetes and GitOps to build and manage production-grade cloud-native environments. This role focuses on deploying, scaling, and optimizing applications using modern tooling, with an emphasis on reliability, automation, and operational excellence. 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 Key Responsibilities Design, build, and operate Kubernetes-based platforms supporting production workloads Implement and manage GitOps workflows using tools such as Argo CD to automate deployments Develop and enhance deployment pipelines to improve release consistency and speed Ensure high availability, scalability, and performance across production environments Configure and optimize networking components within Kubernetes environments Build and maintain monitoring and observability solutions to track system health and performance Troubleshoot complex production issues across infrastructure, application, and networking layers Drive improvements in system reliability, automation, and operational efficiency Required Qualifications Hands-on experience with Kubernetes in production environments Strong experience with GitOps methodologies and tools (e.g., Argo CD) Solid understanding of containerized applications and cloud-native architecture Foundational knowledge of networking concepts within distributed systems Experience working in live production environments supporting critical systems Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK) Familiarity with CI/CD pipelines and infrastructure automation Exposure to cloud platforms (AWS, Azure, or GCP)