Padmi

Devops Engineer

Remote · IndiaPosted 2 months ago
Infrastructure And DatabasesMid-level
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Location: Remote Experience: 3-6 years Shift timing: 6 PM to 3 AM IST About the role: We are seeking an experienced AWS DevOps Engineer with strong expertise in AWS cloud infrastructure, Kubernetes (Amazon EKS), and Infrastructure as Code (Terraform/Terragrunt). The ideal candidate will play a key role in designing, deploying, and managing scalable, secure, and highly available cloud environments while building robust CI/CD pipelines and automating infrastructure. Responsibilities Design, deploy, and manage production-grade AWS infrastructure. Provision and manage infrastructure in AWS Control Tower and AWS Organizations multi-account environments. Create, upgrade, and maintain Amazon EKS clusters. Provision infrastructure using Terraform and Terragrunt. Build and maintain CI/CD pipelines for automated deployments. Deploy and manage applications using Helm. Configure Kubernetes autoscaling using Karpenter and Horizontal/Vertical Pod Autoscalers. Manage AWS networking components, including ALB/NLB, VPC, Transit Gateway, NAT Gateway, Route 53, and Route 53 Resolver. Implement monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, and the EFK Stack. Ensure infrastructure security, scalability, availability, governance, and cost optimization. Troubleshoot production issues and perform root cause analysis. Collaborate with development, QA, security, and AI/ML teams to support cloud-native applications. Required Skills AWS: Strong experience with EKS, EC2, VPC, IAM, Route 53, ALB/NLB, Auto Scaling, CloudWatch, networking, and working within AWS Control Tower and AWS Organizations multi-account environments. AWS Governance: Experience with account provisioning, cross-account IAM roles, Service Control Policies (SCPs), centralized networking, and landing zone best practices. Kubernetes: Cluster administration, networking, RBAC, Ingress, storage, troubleshooting, and upgrades. Infrastructure as Code: Terraform and Terragrunt. Containers: Docker and Kubernetes. Kubernetes Ecosystem: Helm, Karpenter, Metrics Server, AWS Load Balancer Controller, ExternalDNS, and cert-manager. Monitoring & Logging: Prometheus, Grafana, and EFK Stack. CI/CD: Experience with Azure DevOps, AWS Code Commit, Code Deploy, Github Action, GitLab CI/CD, Azure DevOps, or Jenkins. Linux & Scripting: Strong Linux administration and Bash scripting. MLOps (Preferred): Exposure to Kubeflow, MLflow, model deployment on Kubernetes, AWS SageMaker, GPU workloads, or AI infrastructure. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. AWS certifications such as AWS Certified DevOps Engineer Professional, AWS Certified Solutions Architect Professional, or AWS Certified Advanced Networking Specialty. Experience with Kubernetes security, container image scanning, and secrets management tools. Working knowledge of service mesh technologies such as Istio Experience supporting AI/ML platforms, GPU-enabled Kubernetes clusters, and MLOps workflows. Strong understanding of cloud security, disaster recovery, backup strategies, and FinOps/cost optimization best practices. Excellent troubleshooting, communication, documentation, and stakeholder management skills. Experience mentoring junior engineers and driving DevOps best practices across engineering teams.

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