Falcon Smart IT (FalconSmartIT)
Java + UI Architect
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Job Role: Java + UI Architect
Job Location: London, UK (4 days per week from office)
Job Type: Contract (6 months) / Perm
Job Description
UI Architect – React JS & Java Spring Boot Ecosystem
We are seeking a highly skilled UI Architect with deep expertise in React JS and strong backend exposure to Java Spring Boot microservices, to lead the design and delivery of scalable, high-performance, and user-centric enterprise applications.
The ideal candidate will bring a strategic architectural mindset, combined with hands-on experience in crafting modern, responsive front-end platforms and seamlessly integrating them with RESTful APIs and microservices-based back-end systems. You will be responsible for defining and governing UI architecture standards, ensuring consistency, scalability, and optimal performance across applications.
A distinguishing requirement of this role is proven, hands-on experience leveraging AI-assisted coding tools — such as Claude Code, Cursor AI, or GitHub Copilot — in real-world production environments. This reflects our commitment to adopting AI-driven development practices to accelerate delivery, enhance developer productivity, and improve overall code quality.
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Key Responsibilities
- Conduct design discovery and requirement workshops.
- Create user journeys, personas, and information architecture.
- Use AI tools to generate:
- Wireframes
- High-fidelity mockups
- Interactive prototypes
- Define and maintain design systems and component libraries.
- Create developer-ready design specifications.
- Collaborate with React development team during implementation. (Expert on React Skills with TypeScript)
Required Skills & Experience
- Strong expertise in React JS, including state management, performance optimization, and component-driven architecture.
- Solid understanding of Java Spring Boot microservices architecture and API integration patterns.
- Experience in micro-frontend architectures.
- Familiarity with modern front-end build tools and frameworks.
- Extensive experience in designing enterprise UI architectures for large-scale applications.
- Proven experience with AI-assisted coding tools (GitHub Copilot, Cursor AI, Claude Code, etc.) in production environments.
- Strong knowledge of RESTful APIs, asynchronous communication, and client-server interaction patterns.
- Experience implementing Design Systems and reusable component libraries.
- Proficiency in Docker, Kubernetes (K8s), and AWS cloud environments.
- Hands-on experience with CI/CD pipelines and DevOps practices.
- Deep understanding of web performance optimization, security, and accessibility standards.
- Excellent problem-solving skills and ability to drive architectural decisions.
- Strong passion for continuous learning and adopting emerging technologies, especially in the AI-assisted development space.
- Ability to balance technical leadership with hands-on contribution.
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