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# The Future of One: Cloud Engineer

- **Company:** PUBLICIS GROUPE
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Bash Shell, Microsoft Outlook, Cloud Computing, Cloud Engineering, Cloud Storage, Computer Engineering, Continuous Integration, Linux, DevOps, Identity and Access Management, Python (Programming Language), Role-Based Access Control, Search Technologies, Microsoft SharePoint, Software Engineering, Data Logging, Scripting, Google Cloud, Cloud Monitoring, Office365, Retrieval-Augmented Generation, Multi-Cloud, Generative AI, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Git, Microsoft Onedrive, AI Platforms, Kubernetes, Google Cloud Functions, Google Gemini, Terraform, Docker, Microservices
- **Published:** October 31, 2026
- **Apply:** https://eurojobs.com/jobs/36306249/apply

## About the Role

experience or cloud architecture design knowledge is **not required** . **Responsibilities** + Deploy and configure infrastructure, resources, applications, and services in **GCP** . + Support **CI/CD pipelines** and automation using **Infrastructure as Code (IaC)** . + Assist with the operation and monitoring of cloud infrastructure and services using **logs, metrics, and alerts** . + Identify, analyse, and troubleshoot technical issues related to infrastructure, connectivity, and applications. + Support the deployment and integration of **Generative AI services** . + Document infrastructure configurations, deployments, and technical procedures. + Gain exposure to equivalent services and infrastructure in **Microsoft Azure** . **Qualifications** **Key Responsibilities** + Deploy and configure infrastructure, resources, applications, and services in **GCP** . + Support **CI/CD pipelines** and automation using **Infrastructure as Code (IaC)** . + Assist with the operation
and monitoring of cloud infrastructure and services using **logs, metrics, and alerts** . + Identify, analyse, and troubleshoot technical issues related to infrastructure, connectivity, and applications. + Support the deployment and integration of **Generative AI services** . + Document infrastructure configurations, deployments, and technical procedures. + Gain exposure to equivalent services and infrastructure in **Microsoft Azure** . **Technical Knowledge** + Basic knowledge of **GCP** , including Compute Engine, Cloud Run, Cloud Storage, Cloud Functions, IAM, VPC, Cloud Logging, and Cloud Monitoring. + Understanding of **DevOps concepts and tools** , such as Git, CI/CD, Docker, Terraform, and scripting with Bash or Python. + Basic knowledge of, or interest in learning, **Kubernetes** . + Interest in **GCP AI services** , including Vertex AI, Gemini, Agent Builder, embeddings, vector search, and RAG solutions. + Basic understanding of
**Linux, networking, security, and the principle of least privilege** . + Interest in **Azure and multi-cloud environments** . **Candidate Profile** + Final-year student or recent graduate with a **Bachelor's or Master's degree in Computer Engineering, Telecommunications Engineering, Data Science, or a related field** . + Strong interest in developing a career in **Cloud, DevOps, and Generative AI** . + Strong learning ability, analytical thinking, and problem-solving skills. + Proactive, responsible, and comfortable working as part of a team. + Familiarity with **Microsoft 365 tools** , such as Teams, Outlook, SharePoint, and OneDrive. + Sufficient **technical English** to understand documentation, procedures, and specialised resources. **Nice to Have** Introductory certifications, academic or personal projects, or initial hands-on experience with **GCP, Azure, Python, Docker, Kubernetes, Terraform, Vertex AI, or Gemini** will be considered