Xengineer – Frontend Expertise

Wix Wix · Enterprise · Tel Aviv, Israel · Research

Frontend xEngineer at Wix, focusing on designing and owning end-to-end user experiences with an AI-native focus. The role involves applying AI-powered tools and workflows across the development lifecycle, with an emphasis on frontend architecture, scalability, and maintainability. Requires experience with modern frontend technologies and using AI tools in the engineering workflow.

What you'd actually do

  1. Design and own end-to-end systems and features that serve millions of users, taking responsibility across stack boundaries — from product flows and user experience to APIs, data models, and production systems
  2. Focus on frontend architecture, making thoughtful trade-offs around performance, scalability, accessibility, and long-term maintainability
  3. Apply AI-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring
  4. Work with modern technologies and platforms (e.g., TypeScript, React, Node.js, Java, cloud, and CI/CD), continuously evolving your toolkit with AI-powered tools
  5. Lead architectural thinking by making thoughtful trade-offs around scalability, reliability, security, performance, and maintainability

Skills

Required

  • 4+ years of experience in frontend development
  • proven track record of working at scale and owning real production systems
  • Expertise in modern JavaScript frameworks (React, Angular, or Vue)
  • mastery of TypeScript and modern build tools
  • Experience using AI tools as part of your engineering workflow
  • ability to evaluate, validate, and iterate on AI-generated UI and logic
  • Strong understanding of frontend fundamentals: performance optimization, accessibility (a11y), and testing
  • Curiosity for how systems work end-to-end
  • mindset that values product impact, technical excellence, and continuous learning
  • Ability to work independently, share knowledge, and adopt best practices

Nice to have

  • Node.js
  • Java
  • cloud
  • CI/CD

What the JD emphasized

  • AI-powered tools and workflows
  • AI-native focus
  • AI-driven environment
  • AI tools as part of your engineering workflow
  • evaluate, validate, and iterate on AI-generated UI and logic