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описание
Req. VR-125117
The company develops digital solutions for clients across industries, including fashion retail, and delivers scalable, production-ready products.
задачи
Build and evolve a new digital product using Java/Spring Boot and React;
Design solution architecture and make key technical decisions;
Develop end-to-end features across frontend, backend, and integrations;
Collaborate with Spanish-speaking stakeholders to define and deliver MVP capabilities;
Leverage AI-assisted development tools to improve productivity and software quality;
Contribute to product strategy, technical direction, and continuous improvement of the solution;
Promote engineering best practices and provide technical leadership within the project team.
требования
5+ Years of professional software development experience with a strong focus on Java and Spring Boot;
Hands-on fullstack development experience, including backend services, frontend applications, APIs, and integrations;
Strong knowledge of React and JavaScript/TypeScript;
Experience designing and building applications from scratch, including MVPs and greenfield projects;
Solid understanding of software architecture, system design, scalability, performance, and maintainability principles;
Experience with microservices, REST APIs, and modern application architectures;
Practical experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, or Cursor throughout the software development lifecycle;
Ability to evaluate technical alternatives, create proof-of-concepts, and make pragmatic architectural decisions;
Understanding of software quality practices, including testing, code reviews, security, and automation;
Experience collaborating with product owners, business stakeholders, and cross-functional teams in an Agile environment;
Ability to take ownership, work autonomously, and drive technical discussions and decisions;
Fluent Spanish at C1 or higher and English at B2 level;
Nice to have: Experience in retail or fashion retail, cloud platforms such as Azure, AWS, or GCP, CI/CD pipelines, DevOps practices, containerization technologies, technical leadership, mentoring, acting as a technical reference within a team, building AI-powered products, integrating AI capabilities into applications.