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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.
Key Responsibilities
- Define and drive the UI architecture strategy for enterprise-grade applications using React JS and modern JavaScript frameworks.
- Establish best practices, design patterns, and coding standards for front-end development.
- Architect scalable solutions that integrate seamlessly with Java Spring Boot microservices and RESTful APIs.
- Lead the design of reusable UI components, design systems, and front-end frameworks to ensure consistency and maintainability.
- Collaborate closely with backend architects, product teams, and UX designers across the full software development lifecycle.
- Leverage AI-assisted development tools to optimize development workflows, improve code quality, and accelerate feature delivery.
- Ensure applications are optimized for performance, scalability, accessibility, and security.
- Guide teams in implementing robust CI/CD pipelines aligned with modern DevOps practices.
- Oversee containerization (Docker) and deployment strategies using Kubernetes (K8s) within AWS or hybrid cloud environments.
- Drive adoption of monitoring, logging, and observability practices for UI and integrated services.
- Mentor and provide technical leadership to front-end engineers and developers across teams.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills & Experience


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- 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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