Experience: 8+ Years Primary Skills: DevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Automation, Monitoring & Observability Preferred Skills: AI/ML exposure, AI-enabled applications, cloud security, GitOps, Argo CD, Prometheus/Grafana, Python or Bash/PowerShell, cloud cost optimization • Lead the design, implementation and operation of scalable, secure and highly available cloud infrastructure. • Own DevOps strategy and technical direction across cloud infrastructure, CI/CD, automation and production operations. • Build and maintain CI/CD pipelines for application and AI-enabled workloads across development, staging and production. • Design and manage Kubernetes environments using AKS, EKS, Docker and Helm. • Implement Infrastructure as Code using Terraform and relevant cloud-native tools. • Establish deployment standards, reusable pipeline templates and automated release processes. • Implement monitoring, logging, alerting and operational practices to maintain reliability and performance. • Work closely with engineering and AI teams to provide the infrastructure required to deploy and operate AI-enabled applications. • Support cloud environments used by AI/ML applications, including compute, networking, containers, storage, security and observability. • Drive cloud security practices covering IAM/RBAC, secrets, networking, access controls and infrastructure governance. • Troubleshoot complex production issues, lead RCA and implement permanent fixes through automation and engineering improvements. • Optimize infrastructure performance and cloud costs while maintaining reliability and scalability. • Evaluate and introduce DevOps tools and practices that improve engineering productivity and deployment quality. • Mentor DevOps engineers and provide technical leadership across projects and teams.