Principal Cloud Kubernetes Engineer (AWS & Azure) - málaga
7 days ago
Málaga
Overview Lead cloud-native engineering to design, deploy and operate multi-cloud Kubernetes platforms across AWS and Azure. You’ll drive GitOps-based delivery, IaC-driven resource management, and secure, scalable operations while collaborating with engineering teams to optimize cloud-native applications. This role offers hands-on work with cutting-edge Kubernetes ecosystems and a chance to shape platform reliability at scale. You will be pivotal in delivering resilient, observable, and secure cloud infrastructure that supports mission-critical workloads. Compensaciones / Beneficios • Private health insurance, • EPAM Employees Stock Purchase Plan, • 100% paid sick leave, • Referral Program, • Professional certification, • Language courses Responsabilidades, • Design and maintain production Kubernetes clusters on EKS and AKS across environments, • Implement GitOps workflows using ArgoCD for declarative delivery, • Develop Infrastructure-as-Code using Terraform and Helm/Helmfile, • Enhance observability with Prometheus, Grafana, and CloudWatch; implement monitoring and alerts, • Apply security best practices: RBAC, network policies, secret management, • Manage Kubernetes add-ons (Argo Workflows, Argo Rollouts, cert-manager, CSI drivers, autoscalers), • Troubleshoot distributed systems across compute, network, and storage, • Collaborate with development teams to improve deployment models and scalability, • Document architectures, workflows, and incident handling standards Requisitos principales, • 7+ years of professional experience with modern cloud-native architectures, • Strong expertise in AWS and Azure (EKS, AKS, VPC/VNet, IAM, EBS/EFS, S3, Load Balancers, Route53), • Deep understanding of Kubernetes architecture, networking, storage, security with production-scale management, • Terraform (modules, state) and Helm/Helmfile experience, • GitOps experience with ArgoCD or Flux, • Security policies, secrets management and compliance automation experience, • Observability tooling (Prometheus, Grafana) and log management (CloudWatch/ELK/EFK), • Bash, Python or Go scripting for automation, • Docker containerization and image lifecycle (ECR/ACR), • Clear communication and ability to document complex systems, • clear communication, • team collaboration, • problem-solving, • AWS and Azure cloud platforms, • EKS and AKS, • Terraform