Create and manage users, groups, and service accounts using policies, roles, RBAC, and management units
Deploy, administer, and maintain Azure, AWS, and GCP solutions across compute, storage, networking, security, and governance
Automate tasks using PowerShell, CLI, Python, and custom scripts
Analyze spending and usage trends with billing and cost management tools
Identify underutilized resources and recommend right-sizing and cost-efficient resource use
Collaborate with platform teams, developers, project managers, business users, and other stakeholders
Manage monitoring and alerting tools to detect platform inconsistencies and errors
Resolve complex and critical incidents and outages, including diagnosis, workarounds, and coordination
Create and maintain documentation, technical manuals, contingency plans, and operational procedures
Requirements

+3 years of experience in Azure/AWS/GCP administration
Strong understanding of cloud infrastructure and services, including resource management, security, networking, and identity services
Experience with DevOps processes,



CI/CD pipelines, and tools for automating cloud deployments
Experience deploying and managing containerized applications using Docker, Kubernetes, and managed container services such as AKS, EKS, GKE, Azure Container Apps, AWS Fargate, and Google Cloud Run
Proficiency in Infrastructure as Code tools such as Terraform, as well as command-line and automation tools
Ability to troubleshoot, diagnose, and resolve issues related to cloud-based applications
Excellent problem-solving and analytical skills
Strong communication skills in both English and Spanish, with the ability to collaborate effectively with cross-functional teams
Azure/AWS/GCP certifications valued
Additional certifications in Terraform, Docker, Kubernetes or FinOps valued
Experience deploying or administering Data & Analytics tools valued
Core Competencies

Demonstrates expertise in managing cloud infrastructure across Azure, AWS, and GCP, w

📌 Data Platform Engineer, Cloud (Madrid)
🏢 Jobtailor
📍 Madrid