Full Stack Engineer

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spain Brayton Global Jornada completa

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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.

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