Cloud Platform Engineer: AWS, Kubernetes & AI

Acid Tango

Lugo

Presencial

EUR 70.000 - 120.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Acid Tango is seeking a highly skilled Cloud Engineer to lead the infrastructure design, deployment, and operations of the AI agent orchestration platform on AWS. You will build a Kubernetes-native platform that supports scalable AI workloads across development, QA, and production environments.

The role requires hands-on experience with EKS, Terraform, GitOps (ArgoCD/GitHub Actions), and security/compliance controls, plus strong collaboration with platform and ML teams to onboard new workloads

Formación

  • 4+ years hands-on AWS experience.
  • AWS Solutions Architect certification required; DevOps/Security specialities preferred.
  • Kubernetes & EKS expertise with cluster provisioning and operations.
  • Infrastructure as Code with Terraform; multi-environment configuration.

Responsabilidades

  • Design, provision, and manage AWS infrastructure using Terraform in line with Well-Architected Framework.
  • Build and maintain CI/CD pipelines and GitOps for multi-environment deployments.
  • Operate EKS clusters end-to-end and manage node groups with Karpenter.
  • Ensure security, monitoring, and cost-efficiency across environments.

Conocimientos

AWS
Kubernetes
EKS
Terraform
GitOps
ArgoCD
CI/CD
Helm
Prometheus
Grafana
CloudWatch
X-Ray
Checkov
tfsec
Karpenter
OPA

Herramientas

Terraform
Kubernetes
Helm
GitHub Actions
ArgoCD
Prometheus
Grafana
CloudWatch
X-Ray
Checkov
tfsec
Karpenter

Descripción del empleo

Acid Tango is seeking a highly skilled Cloud Engineer to lead the infrastructure design, deployment, and operations of the AI agent orchestration platform on AWS. You will build a Kubernetes-native platform that supports scalable AI workloads across development, QA, and production environments.

The role requires hands-on experience with EKS, Terraform, GitOps (ArgoCD/GitHub Actions), and security/compliance controls, plus strong collaboration with platform and ML teams to onboard new workloads

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