Devops with AI (Chennai)

About the company: It is an AI-native digital engineering company focused on building scalable enterprise AI, cloud, and digital transformation solutions using its proprietary GalentAI platform. Experience: 6 12 Years Work Mode: Remote Notice Period: Immediate to 30 Days Job Summary: We are looking for a hands-on Senior DevOps Engineer to build and manage scalable multi-cloud AI SaaS applications and platforms. The role involves designing and managing cloud infrastructure across AWS, Azure, and GCP, supporting AI/LLM-based applications, Kubernetes operations, Infrastructure-as-Code, CI/CD automation, observability, security, and platform reliability. Key Responsibilities Design, deploy, and manage infrastructure across AWS, Azure, and GCP Manage Kubernetes environments including EKS, AKS, and GKE Build and maintain Infrastructure-as-Code using Terraform, Pulumi, or CDKTF Implement CI/CD and GitOps pipelines using GitHub Actions, Jenkins, ArgoCD, or GitLab CI Handle monitoring, observability, logging, and incident management Ensure cloud security, IAM, secrets management, compliance, and governance Support microservices architecture and platform engineering initiatives Optimize platform scalability, reliability, and cloud cost management Collaborate with architects, developers, and security teams for platform modernization Required Experience 610 years of experience in DevOps / SRE / Platform Engineering Minimum 3 years of experience managing production cloud-native and containerized workloads Robust hands-on experience across AWS, Azure, and GCP Experience running multi-tenant SaaS platforms and AI/ML production workloads Hands-on experience in microservices architecture, platformization, and scalable product environments Strong experience with Docker, Kubernetes, Helm, and container orchestration Expertise in CI/CD, GitOps, Infrastructure Automation, and Cloud Operations Strong scripting/programming skills in Python or TypeScript Experience with monitoring tools .