Full Stack Engineer

Hace 23 horas

Girona, Cataluña, España Brayton Global Jornada completa
We are looking for a Senior Full-stack Engineer to develop and maintain enterprise applications, modernise legacy systems, and integrate AI tools into everyday development workflows.

Key Responsibilities
* Design, develop, and maintain front-end and back-end applications, APIs, and databases.
* Use AI coding assistants for development, debugging, refactoring, testing, and documentation.
* Prepare and modernise existing codebases for AI-assisted development, ensuring clear documentation, coding standards, and reliable tests.
* Set up secure AI development environments and define project instructions to guide AI-generated code.
* Configure and extend Model Context Protocol (MCP) integrations to connect AI agents with approved tools and enterprise systems.
* Review AI-generated code for quality, security, performance, and compliance with project requirements.
* Integrate automated testing and security checks into CI/CD pipelines.
* Troubleshoot AI development workflows and help teams adopt effective and secure AI practices. Required Skills and Experience
* Senior experience in full-stack software development, from architecture and coding to testing and deployment.
* Strong knowledge of Java / Spring Boot, Drupal / PHP, and TypeScript, with Angular, React, or Vue.
* Hands-on experience with AI development tools, preferable Kiro and Claude / Claude Code.
* Experience modernising legacy applications and preparing repositories for AI-assisted development.
* Good understanding of LLMs, prompt engineering, context management, and AI coding agents.
* Hands-on experience with MCP clients and servers, including configuration, extension, and secure access.
* Knowledge of semantic code search, embeddings, and Retrieval-Augmented Generation (RAG).
* Experience with enterprise AI platforms or model APIs and their secure configuration.
* Strong knowledge of Git, REST APIs, databases, authentication, and secure integrations.
* Experience with Docker, Kubernetes, or Dev Containers.
* Strong knowledge of CI/CD, DevSecOps, automated testing, and code security checks.
* Awareness of AI-related security risks, software supply-chain security, data protection.
* Certifications in cloud development, Generative AI, AI engineering, DevSecOps, cloud security are considered an advantage. #J-18808-Ljbffr