UI Lead Engineer — React/AEM with AI-Powered Dev Tools

Dns Info Ltd

City of Westminster

On-site

GBP 90,000 - 130,000

Full time

3 days ago
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Job summary

Dns Info Ltd. is seeking a highly experienced UI Lead Frontend Engineer to shape scalable, high-performance frontend architectures for enterprise platforms.

You will lead design systems, champion WCAG, performance, and security, and drive reusable components across teams. Key focus includes integrating Adobe Experience Manager (AEM) with modern UI frameworks, and harnessing Generative AI tools such as Claude to accelerate development, code quality, and delivery velocity in a large-scale

Qualifications

  • 10+ years of Front End/UI engineering experience.
  • Strong hands-on experience with React, Next.js, TypeScript, JavaScript, HTML5, and CSS3.
  • Proven leadership in designing enterprise UI architectures and reusable component libraries.

Responsibilities

  • Define enterprise-wide UI engineering standards and practices.
  • Deliver scalable Front End solutions using React, Next.js, TS, JS, HTML5 and CSS3.
  • Architect reusable UI components and design systems with AEM integration.
  • Lead performance, accessibility, SEO, security, and responsive design initiatives.
  • Drive AI-assisted development workflows using Claude tools across the lifecycle.

Skills

UI architecture
React
Next.js
TypeScript
JavaScript
HTML5
CSS3
Claude AI/Claude Code
AI-assisted development
Front End leadership

Tools

Adobe Experience Manager (AEM)
AEM Sites
AEM Core Components
AEM Templates
GraphQL
REST APIs
Web Performance tooling

Job description

Dns Info Ltd. is seeking a highly experienced UI Lead Frontend Engineer to shape scalable, high-performance frontend architectures for enterprise platforms.

You will lead design systems, champion WCAG, performance, and security, and drive reusable components across teams. Key focus includes integrating Adobe Experience Manager (AEM) with modern UI frameworks, and harnessing Generative AI tools such as Claude to accelerate development, code quality, and delivery velocity in a large-scale

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