We are looking for a DevOps Engineer with solid experience in CI/CD pipeline automation, cloud infrastructure management, and container orchestration. The idóneo candidate will be proficient in Azure DevOps with Git repository integration, as well as have experience in Helm and Terraform for infrastructure as code (IaC) management.The role is key to ensuring the availability, scalability, and security of our Conversational AI platform, working closely with the backend development, architecture, and AI teams.Responsabilidades Principales1. CI/CD and AutomationDesign, implement, and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, and Jenkins.Integrate Git repositories with Azure DevOps for automated build, test, and deploy flows.Configure branching strategies, pull request policies, and code review automation.Manage releases and deployments to development, staging, and production environments.2. Infrastructure as Code (IaC)
- Create and maintain Terraforms.
- Create and maintain Helm charts for deploying microservices in Kubernetes.




- Versioning and maintenance of configurations in Git repositories with Azure DevOps.
- Implement GitOps practices for declarative infrastructure management.3. Containers and OrchestrationOptimizar imágenes Docker y gestionar registries privados (ACR, GCR).Configurar Helm para gestión de releases, rollbacks y gestión de dependencias entre servicios.6. CollaborationWork with backend, architecture, and product teams to optimize delivery cycles.Document architectures, technical decisions, and operational runbooks.Participate in on-call and incident management in production.Technical RequirementsImprescindiblesAzure DevOps: pipelines, boards, repos, artefacts — full integration with Git.Git: advanced repository management, branching strategies, integration with Azure DevOps.Helm: creation and maintenance of charts, release management in Kubernetes.Terraform: infrastructure provisioning in Azure and/or GCP, reusable modules.Kubernet

📌 Devops Engineer (Madrid)
🏢 Ntt Data Europe & Latam
📍 Madrid