Senior Android Engineer, Design System

Expedia Expedia · Hospitality · Chicago, IL

Senior Android Engineer focused on Expedia's Design System, responsible for building and maintaining advanced Android applications. The role involves leading feature delivery, collaborating with cross-functional teams, and integrating AI tools to enhance development and product outcomes. Experience with AI-driven systems and applying AI/ML concepts to real-world products is required.

What you'd actually do

  1. Design, build, and maintain advanced Android applications using Kotlin and modern Android frameworks, ensuring reliability, performance, and scalability across a diverse device ecosystem.
  2. Lead end‑to‑end feature delivery, including low‑level design, API design, and data modeling for mobile features and services that integrate with backend systems and shared platforms.
  3. Collaborate with product, design, and cross‑functional engineering teams to define technical approaches, refine requirements, and deliver high‑quality customer experiences in a fast‑paced environment.
  4. Leverage and advocate for the use of AI tools as a copilot to accelerate development and encourage adoption across the team.
  5. Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
  6. Enhance observability, performance monitoring, and incident resolution for Android applications, contributing to operational excellence and reusable patterns across multiple product areas.

Skills

Required

  • Kotlin
  • modern Android frameworks
  • Android application architecture
  • API integration
  • data modeling
  • RESTful services
  • offline data handling
  • testable, maintainable, and performant Android codebases
  • modern frameworks, tools, and libraries
  • AI-driven systems, tools, or workflows
  • applying AI/ML concepts to real world products
  • safely integrating these capabilities into mobile features

Nice to have

  • Jetpack components/Jetpack Compose
  • Android UI/UX best practices
  • performance optimization
  • design system
  • sophisticated UI interactions, animations, and transitions on Android
  • AI productivity tools like Claude or Copilot
  • accessible (a11y) and inclusive user interfaces
  • AI/ML-adjacent techniques
  • on-device ML frameworks
  • AI-powered developer tools
  • Android app architecture patterns (e.g., MVVM, MVI, MVP)
  • architectural improvements in Android apps
  • mentoring other engineers

What the JD emphasized

  • Safely integrate and operate AI/ML-enabled solutions that improve outcomes
  • familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products
  • Professional experience developing and shipping Android applications using Kotlin in a production environment, including ownership of features or services from design through deployment and support.
  • Demonstrated ability to design, implement, and maintain testable, maintainable, and performant Android codebases using modern frameworks, tools, and libraries.
  • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, with a focus on safely integrating these capabilities into mobile features.