Infrastructure / DevOps Engineer

Hace 4 semanas

ciudad de mendoza, mendoza, Argentina Wakapi Jornada completa

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We are looking for an Infrastructure / DevOps Engineer to join our Cloud Platform Engineering Team.

Kubernetes Administration: Deploy, manage, scale, and troubleshoot workloads on Kubernetes, initially using Google Kubernetes Engine (GKE), with Helm and Kustomize.
Infrastructure as Code: Build modular and cloud-agnostic infrastructure using Terraform, enabling consistent deployments across GCP, other public clouds, and on-premise environments.
CI/CD Pipeline Ownership: Design, maintain, and optimize reusable GitHub Actions workflows for automated testing, containerization, and deployment.
Manage container images and deployment workflows using GitHub Container Registry (GHCR).
IAM & Platform Deployment: Deploy, operate, and scale highly available Keycloak clusters.
Configure GitHub Workload Identity Federation (OIDC) to provide GitHub Actions with secure, keyless access to GCP resources.
Implement and maintain secure secrets management practices.
Collaborate with technical leadership to evaluate and improve deployment strategies, including traditional CI/CD and GitOps approaches using tools such as ArgoCD or Flux.
Contribute to the reliability, scalability, security, and portability of the overall cloud platform.

Advanced hands-on experience managing production Kubernetes environments , including container networking.
Strong proficiency with Terraform, Helm, and Infrastructure as Code (IaC) methodologies.
Deep experience designing and maintaining deployment pipelines using GitHub Actions .
Experience working with GitHub Container Registry (GHCR) .
Experience deploying and maintaining production Keycloak/IAM environments .
Strong understanding of OIDC, identity management, authentication, and authorization concepts .
Experience with secrets management and cloud security best practices.
Experience working with GCP/GKE and an understanding of multi-cloud or cloud-agnostic infrastructure approaches.
Strong understanding of containerized environments, deployment automation, and system reliability