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We seek an AWS expert specializing in Kubernetes, particularly with Amazon Elastic Kubernetes Service (EKS). This role requires strong skills in cloud infrastructure and container orchestration.
AWS Services: Proficiency in core AWS services like EC2, S3, VPC, IAM, CloudWatch, Route 53, EBS, and EFS. Understanding how these integrate with EKS is crucial.
Networking: Strong understanding of AWS networking concepts, including VPCs, subnets, security groups, NACLs, and routing tables, and how they apply to Kubernetes clusters.
Security: Knowledge of AWS security best practices, IAM roles and policies, and securing EKS clusters.
Automation & Scripting: Experience with scripting languages like Python or Bash for automating AWS tasks and managing infrastructure as code (e.g., using CloudFormation or Terraform).
Kubernetes Fundamentals: Deep understanding of Kubernetes architecture, including control plane components (API server, etcd, scheduler, controller manager) and worker node components (kubelet, kube-proxy, container runtime).
Containerization: Expertise in Docker or other container runtimes, including image building, registry management, and container best practices.
Workload Management: Ability to deploy, manage, and scale applications using Kubernetes objects like Pods, Deployments, Services, Ingress, ConfigMaps, and Secrets.
Networking: Understanding of Kubernetes networking concepts, including CNI plugins, Service networking, Ingress controllers, and DNS resolution within the cluster.
Storage: Knowledge of Kubernetes storage options, including Persistent Volumes, Persistent Volume Claims, and Storage Classes, particularly with AWS storage integrations.
Monitoring & Logging: Experience with monitoring and logging solutions for Kubernetes, such as Prometheus, Grafana, ELK/EFK stack, or AWS CloudWatch Container Insights.
Troubleshooting: Strong troubleshooting skills to diagnose and resolve issues within EKS clusters and containerized applications.
Helm & Kustomize: Familiarity with package managers like Helm for deploying and managing Kubernetes applications, and Kustomize for configuration customization.
CI/CD: Understanding of CI/CD pipelines and how to integrate Kubernetes deployments into automated workflows.