* Indefinite * Full-time * Hybrid (28108, Alcobendas, Madrid, Spain) * Technical \& Operations **Position Mission** You will be responsible for designing, building, and operating a secure, scalable, and cost-effective cloud infrastructure on GCP, forming the company's technological foundation. The role is primarily responsible for computing, networking, and storage services. Additionally, you will provide specialized support and the necessary infrastructure to enable and optimize Artificial Intelligence workloads, ensuring data science teams can deploy and operate their models on a robust and well-managed platform. **What responsibilities and tasks will you handle?** * GCP Core Infrastructure Management (Compute and Networking): Administer, secure, and optimize Compute Engine, Google Kubernetes Engine (GKE), VPC networks, firewalls, and IAM policies. * Infrastructure as Code (IaC) Automation: Use Terraform as the primary tool for deploying and version-controlling all cloud infrastructure, ensuring consistency and repeatability. * Storage and Database Administration: Manage storage solutions such as Cloud Storage and relational databases (Cloud SQL), ensuring performance, backup, and security. * AI Platform Enablement: Deploy and manage infrastructure required for AI solutions, including setting up environments in Vertex AI and managing datasets in BigQuery. * AI Workload Support: Collaborate with data teams to resolve performance, connectivity, and permission issues related to model training and inference on the GCP platform. **Requirements** * University degree or higher vocational training in Computer Science, Software Engineering, Computer Engineering, or related fields. * Experience: At least 5 years of experience in cloud systems administration on GCP, including at least 1\-2 years of hands-on experience supporting AI platforms and workloads (Vertex AI, BigQuery). Certifications combination will be highly valued. Primary: Google Professional Cloud Architect or Professional Cloud DevOps Engineer. Complementary: Google Professional Machine Learning Engineer. **What competencies would we like you to have?** * Ability to effectively identify, analyze, and solve complex technical problems. * Skill in evaluating information, analyzing complex situations, and making informed decisions. * Attention to detail to ensure accuracy in system configuration and administration. * Aptitude for collaborating and working effectively with multidisciplinary teams. * Ability to clearly and concisely communicate technical information to diverse audiences. * Capacity to efficiently organize and prioritize tasks in a dynamic environment. **What do we offer?** * Indefinite contract. * Compensation composed of fixed and variable components. * Office hours with flexible start and end times. * Hybrid work model. * Flexible Compensation Plan with Cobee. * Excellent work environment. * Indefinido * Tiempo completo * Híbrido (28108, Alcobendas, Madrid, España) * Technical \& Operations