Three Chopt, VA, USA
24 hours ago
DevOps Cloud Architect
Job Description Insight Global is seeking a highly skilled DevOps Cloud Architect (DOCA) to join our client’s Infrastructure group. This individual will serve as a master‑level engineer responsible for driving cloud strategy, automation, CI/CD development, and secure, scalable architectural solutions across enterprise environments. The DOCA will provide technical leadership, consultation, and hands‑on engineering across IT, business initiatives, and partner integrations. The pay rate for this position is 150-165k depending on years of expertise. 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 • Azure architecture experience (certifications strongly preferred) • Strong Kubernetes expertise (AKS, K3S) • CI/CD pipeline development • Scripting in Python, Bash, PowerShell • Familiarity with DevOps security tools (SonarQube, Dependabot, container scanning) • Strong Coding experience • Bachelor's Degree CKAD – Kubernetes Application Developer ○ VMware experience ○ Java/Tomcat application knowledge ○ AI/automation experience in DevOps workflows
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