AI Platform Engineer

scalability, maintainability, and security across the full technology stack. Cloud-Native Deployment and Operations - Deploy and operate cloud-native applications across major cloud platforms using automated CI/CD pipelines. - Implement containerization and orchestration strategies to ensure reliability and scalability. - Monitor application performance and ensure high availability through structured operational practices. Quality, Testing, and Continuous Improvement - Implement automated testing strategies across backend and frontend components. - Ensure code quality, resilience, and security through best practices and structured review processes. - Promote continuous improvement in development workflows, DevOps practices, and engineering standards. Collaboration and Technical Leadership - Collaborate with UX designers, DevOps engineers, data teams, and product stakeholders to align technical solutions with business needs. - Mentor developers and foster a culture of ownership

collaboration, and technical excellence. - Contribute to architectural discussions and long-term platform evolution strategies. Required Qualifications - Master's degree in Computer Science, Software Engineering, or a related discipline. - Minimum of 5 years of experience delivering production-grade full-stack software solutions. - Strong backend expertise in C#/.NET, Python/FastAPI, or Node.js. - Experience with microservices, REST/GraphQL APIs, and event-driven architectures. - Hands-on experience with cloud platforms and CI/CD pipelines. - Strong communication and collaboration skills in multidisciplinary environments. Preferred Experience - Experience with Docker, Kubernetes, and infrastructure as code tools. - Experience in large-scale, technology-driven organizations. - Location: Barcelona, Spain - Job Type: Hybrid - Sector: Electrical Equipment Manufacturing J-18808-Ljbffr