Carlos Monterde
Senior Full Stack Engineer · FullStack Architecture · Performance · AI-Assisted Engineering
Zuloaga, 16 1D 28222 Majadahonda (Madrid), Spain
Senior Full Stack Engineer with 20+ years building high-performance systems, focused on scalable architectures, performance optimization and modern engineering practices. Specialized in JavaScript/TypeScript ecosystems, Core Web Vitals, Micro-Frontend architectures and AI-assisted development workflows. Experienced contributing to frontend modernization initiatives across healthcare, fintech and cybersecurity environments. Possessing strong, complementary expertise in backend architecture with Node.js, Java and Python, and modern delivery pipelines (DevOps).
Experience
Senior Software Engineer · Babel
Oct 2026 – Present
Madrid
Inversion and private banking
Independent Software Architect & Consultant · MonticoM (Freelance)
Jul 2026 – Present
Madrid, Spain
Cloud-Native FullStack Platform: architected and engineered a high-availability profile editor using Java 17+ and React, automating full infrastructure provisioning via Terraform on AWS. AI-Driven Health & Wellness System: designing an innovative fitness platform integrated with Health Connect, leveraging Large Language Models (LLMs) to deliver contextual, automated user recommendations. Financial Workflow Optimization: advising financial departments on strategic process reengineering and operational automation to drive efficiency.
Senior Frontend & AI Integration Developer · Netskope
Jan 2023 – Jul 2026
Madrid, Spain
Contributed to the architecture and evolution of a high-performance cybersecurity platform focused on remote isolation, rendering efficiency and Core Web Vitals optimization. Implementation of real-time communication using WebSockets and efficient data serialization with Flatbuffers defined in TypeScript for handling massive data flows. A pioneer in AI-assisted engineering strategy through the integration of Claude Code into development workflows. Designed LLM-assisted refactoring and static analysis workflows, increasing unit test coverage and reducing team maintenance overhead by 80%. Collaboration across frontend, backend and observability layers (C++, VanillaJS optimized for Core Web Vitals, React, Python, FastAPI, YAML, Prometheus).
Senior FrontEnd Developer · BABEL (ING)
Apr 2019 – Dec 2022
Madrid, Spain
Development and design of new features for the front end of the ING Banking app, developed in a proprietary framework based on Backbone and Vanilla JavaScript. Active participation in the migration of the framework to a modern backward-compatible Micro-Frontends system, and increased test coverage with Mocha and Chai. Collaboration with backend, with Java 17+, Microservices, Kafka.
FullStack Tech Lead · QbD Group (Azierta)
Mar 2017 – Apr 2019
Pozuelo de Alarcón, Spain
Comprehensive management of a collaborative development environment under Agile methodology using Eclipse, Maven, Git and Jenkins. End-to-end design and development of a two-layer database management application: backend in Java 8 (Hibernate, Spring Boot, MySQL, JasperReports) and frontend (HTML5, React, Redux). Development of image-guided interactive training environments using HTML5, Canvas, jQuery and React.
Senior Software Developer · Cast-Info (BBVA)
Nov 2016 – Mar 2017
Madrid, Spain
Evolutionary maintenance and development of the CIB intranet in PHP, ensuring stability and the secure deployment of new functionalities.
Senior Software Developer · CITEC-B | CIBEX
Jan 2012 – Dec 2016
Development of simulation and training software projects for the biomedical sector. Decision-making regarding architecture and technology to be used. Leadership of teams of 5 people.
Software Developer · Abadia D.I.
Jan 2000 – Dec 2011
Development of interactive and multimedia software. Architecture and technology decisions. Design and implementation of features.
Education
Certification: Career Essentials in Generative AI · Microsoft and LinkedIn
Generative AI
Jan 2025 – Dec 2025
Learning React.js · LinkedIn
React
Jan 2021 – Dec 2021
Engineer Degree · Universidad Politécnica de Madrid
Management Information Systems
Jan 1996 – Dec 2000
Skills
- Clean Code BackEnd Architecture Advanced
- FastAPI BackEnd Architecture Advanced
- Java 17+ BackEnd Architecture Advanced
- Microservices BackEnd Architecture Advanced
- Observability BackEnd Architecture Advanced
- Python BackEnd Architecture Advanced
- Query Optimization BackEnd Architecture Advanced
- SOLID BackEnd Architecture Advanced
- Spring Boot BackEnd Architecture Advanced
- SQL BackEnd Architecture Advanced
- CI/CD Pipelines DevOps & Platform Advanced
- GitHub Actions DevOps & Platform Advanced
- Jenkins DevOps & Platform Advanced
- Monorepos (Nx/Turborepo) DevOps & Platform Advanced
- SonarQube DevOps & Platform Advanced
- Terraform DevOps & Platform Advanced
- AI-assisted Refactoring Engineering Productivity & Automation Advanced
- Claude Code Engineering Productivity & Automation Expert
- Engineering Workflow Automation Engineering Productivity & Automation Advanced
- Generative AI Integration Engineering Productivity & Automation Advanced
- Core Web Vitals FrontEnd Architecture Expert
- Custom Framework Design FrontEnd Architecture Advanced
- JavaScript (ES6+) FrontEnd Architecture Expert
- Micro-frontends FrontEnd Architecture Expert
- React FrontEnd Architecture Expert
- Runtime Performance Monitoring FrontEnd Architecture Advanced
- TypeScript FrontEnd Architecture Expert
- Web Performance Optimization FrontEnd Architecture Expert
- English Languages Advanced
- Spanish Languages Expert
Projects
Currículum Interactivo
Jul 2026 – Present
This CV: an interactive CV system built as a multi-repo demo. Java 17 / Spring Boot domain API, Node/TypeScript BFF, React admin, vanilla JS and Next.js public sites, MySQL 8.4 with Flyway, provisioned with Terraform on AWS (Graviton, CloudFront, Cognito) and delivered through Jenkins, GitHub Actions and Drone CI, built with Claude Code agent teams.
AI-Driven Health & Wellness System
Jul 2026 – Present
An innovative fitness platform integrated with Health Connect, leveraging Large Language Models (LLMs) to deliver contextual, automated user recommendations.