Full Stack Engineer
Role details
Job location
Tech stack
Job description
workflow functionalities. * Build responsive, user-friendly web interfaces using React and modern frontend technologies. * Design and implement RESTful APIs to connect frontend applications with backend services. * Scale web applications using cloud infrastructure. * Develop, measure, and monitor key metrics for all tools and services, consistently seeking to iterate on and improve them. * Participate in code reviews, continuously improving personal standards as well as broader team and product quality. * Collaborate with other technical staff and data engineers within the team and across allied teams to build end-to-end pipelines consuming other data products. Required Qualifications: * Proficiency in Python (6+ years python backend development) with unit testing experience (e.g., pytest). * Cloud experience including core web application infrastructure in at least one major cloud provider (GCP preferred). * Familiarity with AI/ML technologies and Agentic AI. * Knowledge and
Requirements
demonstrable experience with containerization (Docker, Kubernetes) and orchestration tools. * Familiarity with modern frontend build tools and bundlers (Vite, Webpack). * Knowledge of responsive design principles and CSS frameworks/libraries. * Knowledge of agile practices and ability to perform in agile software development environments. Preferred Qualifications: * Demonstrated experience in Python backend development, including API design experience (FastAPI). * Experience building real-time applications using WebSockets or Server-Sent Events. * Experience with React ecosystem tools (Next.js, React Router, React Query/SWR). * Knowledge of modern frontend testing frameworks (Jest, React Testing Library, Cypress). * GCP experience (Cloud Run, Vertex AI, GKE, etc.). * Experience (1+ years) developing and deploying Agentic AI workflows and applications; experience with AI frameworks like LangChain, LangGraph, or similar agentic frameworks. * Experience deploying AI/ML models into production and managing AI/ML model lifecycles. * Familiarity with version control systems and CI/CD pipelines. * Experience with Infrastructure as Code (Terraform). * Experience with Kubernetes or job scheduling systems would be a significant advantage. * Familiarity with microservices and hexagonal architectures would be a plus. * Strong soft skills including problem-solving, communication, ability to work in ambiguous environments, and experience working on R&D projects. Seniority level: * Mid-Senior level Employment type: * Full-time Industry / Job function: * IT Services and IT Consulting Madrid, Community of Madrid, Spain We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr