Job Description We are seeking a highly skilled Lead DevOps Engineer to architect and manage enterprise-grade infrastructure for an internally developed GPT-based application. This role requires deep expertise in Kubernetes cluster design and deployment at scale, strong automation skills, and experience leading DevOps initiatives in complex environments. AI/MLOps experience is a significant plus. Key Responsibilities: Lead DevOps Strategy & Implementation: Drive the design, deployment, and optimization of Kubernetes clusters (AWS EKS) for enterprise-scale applications. Infrastructure Automation: Build and maintain CI/CD pipelines using GitLab, automate deployments, monitoring, and scaling of services. Database Management: Deploy, administer, and fine-tune PostgreSQL databases for high performance and reliability. Performance Monitoring: Utilize tools like DataDog to monitor system health, reliability, and data processing efficiency. Collaboration: Work closely with GPT developers, infrastructure teams, and MLOps engineers to ensure seamless integration and delivery. Scripting & Automation: Develop automation scripts for deployment, monitoring, and operational tasks. Security & Compliance: Ensure infrastructure adheres to best practices for security, scalability, and compliance. Pay range is $65-$75/hour. 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 7–10+ years of DevOps experience in enterprise environments. Proven expertise in Kubernetes/EKS cluster architecture and management. Strong experience with AWS, Terraform, and CI/CD (GitLab). PostgreSQL administration and optimization. Monitoring tools (DataDog) and infrastructure automation. -AI/MLOps experience, including LLMs and RAG architecture. Familiarity with Azure OpenAI and general Azure services. Knowledge of vector databases and advanced data processing workflows.