User Experience Engineer III

User Experience Engineer III

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. The  Home Page engineering team owns the end-to-end  homepage experience on desktop and mobile web, building the very first touchpoints travelers see when they land on the site. Partnering closely with UX design, product, data science, and advertising, the team brings new concepts to life—from personalized recommendations and favorites to banners, sales moments, and promotional placements.

As front‑end specialists, they focus on high‑quality UI implementation, performance, and accessibility, wiring modern web components to backend APIs and services to create seamless, high‑impact experiences.

• Design and implement high‑quality user interfaces and interaction patterns that align with product requirements, design systems, accessibility standards, and performance goals across multiple surfaces and devices.
• Translate UX and visual design specifications into robust, reusable front‑end components and patterns, including system design (LLD), API integration patterns, and data modeling needed to support UI behavior and state management.
• Collaborate closely with designers, product managers, and engineers to refine requirements, validate technical feasibility, identify tradeoffs, and deliver incremental, testable UX improvements backed by data and experimentation.
• Build, extend, and maintain shared UX frameworks, design systems, and tooling that enable consistency, efficiency, and fungibility across multiple domains and product areas.
• Apply strong front‑end engineering practices, including automated testing, performance optimization, accessibility compliance, observability, and resilient error handling for UX flows at scale.
• Demonstrate familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products, and safely integrate and operate AI/ML‑enabled solutions that improve user experience, personalization, and content relevance.

• Bachelor’s or Master’s degree in Computer Science, Human‑Computer Interaction, Engineering, or a related technical field, or equivalent practical experience.
• 3+ years of professional experience (Master’s) or 5+ years of professional experience (Bachelor’s) in front‑end or UX engineering building production web applications, including ownership of at least one significant service, experience, or feature area from implementation through release and iteration.
• Proficiency with modern web technologies and frameworks used to implement UX designs, including component‑based architectures, API consumption patterns, and data modeling for client‑side state and rendering.
• Demonstrated ability to translate UX and visual design requirements into accessible, performant, and maintainable interfaces, using system design (LLD), API contracts, and front‑end architecture patterns.
• Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products, with the ability to safely integrate and operate AI/ML‑enabled UI features in collaboration with other engineering teams.

• Experience owning end‑to‑end UX implementation for complex user journeys or multi‑surface experiences, including architecture decisions, tradeoff analysis, and collaboration across multiple services or domains.
• Depth in building and scaling design systems or shared component libraries, including extensible API design for components, robust data modeling for UI state, and governance for adoption across teams.
• Proven track record of using quantitative and qualitative data (experimentation, analytics, user research) to inform UX engineering decisions and iteratively improve experience quality and business outcomes.
• Strong focus on operational excellence for UX surfaces, including performance profiling, accessibility audits, observability for client behavior, and resilient error and degradation handling in production environments.
• Applied experience integrating AI/ML‑powered capabilities into…