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# 3601 - Ingeniero/a especialista Cloud y DevOps Azure para proyectos de Inteligencia Artificial

- **Company:** Navantia
- **Location:** Cartagena, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Key Management, Systems Integration, Cloud Monitoring, Git, Kubernetes, Infrastructure Automation Frameworks, Bicep, Azure AKS, Terraform, Api Management, Azure Resource Manager, Docker
- **Published:** July 29, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=f4b723fef0d77dfd

## About the Role

Vida Laboral o vida laboral negativa/informe negativo de afiliación
Títulos académicos
Acreditación de formación relacionada con el puesto a cubrir, Cualquier titulación de Grado universitario.

Cursos a valorar en Fase 1 - Concurso de méritos:
Azure Administrator Associate (AZ-104).
Azure Solutions Architect Expert (AZ-305).
DevOps Engineer Expert (AZ-400).
Azure Network Engineer Associate (AZ-700).
Azure AI Cloud Developer Associate (AI-200), soluciones de inteligencia artificial sobre Azure.
Seguridad cloud e IA sobre Azure.
Azure DevOps, CI/CD, Git o automatización de despliegues.
Terraform, Bicep, ARM Templates, Infrastructure as Code aplicada a Azure.
AKS, Azure Container Apps, Docker, Kubernetes.

## Description

Diseñar, desplegar y operar servicios cloud sobre Microsoft Azure.
Colaborar en la construcción de plataformas cloud para proyectos de Inteligencia Artificial, datos, automatización e integración de sistemas.
Implementar y mantener pipelines de integración y despliegue continuo mediante Azure DevOps.
Automatizar infraestructura mediante Terraform, Bicep, ARM Templates u otras herramientas equivalentes de Infrastructure as Code.
Participar en la operación de servicios Azure como Azure Kubernetes Service, Azure Container Apps, Azure Virtual Network, Azure Storage, Azure Key Vault, Azure Monitor, Log Analytics, Application Gateway y API Management.
Colaborar en la integración de soluciones de IA con servicios corporativos, APIs, datos y sistemas empresariales.
Participar en tareas de monitorización, diagnóstico y resolución de incidencias técnicas en entornos Azure.
Documentar arquitecturas, configuraciones, procedimientos técnicos y evidencias de operación.
Apoyar la optimización de costes, rendimiento y capacidad mediante prácticas FinOps en Azure.


## Related Videos

- [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)

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