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Advanced cloud computing specialist

Timbó
beBeeAWSAdministrator
Anunciada dia 18 dezembro
Descrição

Job Description

We are seeking an expert AWS administrator to join our team. The ideal candidate will have extensive experience in cloud infrastructure, container orchestration, and Kubernetes.


Key Responsibilities

* Cloud Infrastructure Management: Proficiency in core AWS services such as EC2, S3, VPC, IAM, CloudWatch, Route 53, EBS, and EFS is essential for this role.
* Container Orchestration: Strong knowledge of networking concepts including VPCs, subnets, security groups, NACLs, routing tables, and their application to Kubernetes clusters is necessary.
* Security Best Practices: Understanding of security best practices, IAM roles and policies, securing EKS clusters is crucial.
* Coding Skills: Experience with scripting languages like Python or Bash for automating AWS tasks and managing infrastructure as code using CloudFormation or Terraform is required.
* Kubernetes Architecture: Deep understanding of Kubernetes architecture including control plane components API server, etcd, scheduler, controller manager, and worker node components kubelet, kube-proxy, container runtime is essential.
* Docker Expertise: Expertise in Docker or other container runtimes image building, registry management, container best practices is necessary.
* Application Deployment: Ability to deploy, manage, scale applications using Kubernetes objects pods deployments services ingress ConfigMaps secrets is required.
* CNI Plugins: Familiarity with CNI plugins service networking ingress controllers DNS resolution within the cluster is essential.
* Persistent Storage: Knowledge of Persistent Volumes Persistent Volume Claims Storage Classes especially with AWS storage integrations is necessary.
* Monitoring and Logging: Experience with monitoring logging solutions for Kubernetes Prometheus Grafana ELK/EFK stack AWS CloudWatch Container Insights is required.
* Helm Kustomize: Helm Kustomize package managers deploying managing Kubernetes applications configuration customization is necessary.
* CI/CD Pipelines: CI/CD pipelines integrating Kubernetes deployments automated workflows is required.

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