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Android Engineer II - Air Shopping

Job in Seattle, King County, Washington, 98127, USA
Listing for: Expedia, Inc.
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Android Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and we know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

In this role, you will:
  • Build, enhance, and maintain Android application features that deliver reliable, high‑quality customer experiences across multiple Expedia Group brands and use cases.
  • Design and implement clean, testable Kotlin code, including well‑structured APIs and data models, following Android and mobile engineering best practices.
  • Contribute to system and low‑level design for mobile components, including screen flows, interaction patterns, and integration with backend services and data sources.
  • Diagnose, debug, and resolve issues in Android applications, improving performance, stability, and usability through data‑driven analysis and experimentation.
  • Collaborate with cross‑functional partners to deliver features end‑to‑end, ensuring high code quality with unit tests, integration tests, and continuous integration practices.
  • 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.
Minimum Qualifications:
  • Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.
  • 2+ years of relevant professional experience.
  • Professional experience developing Android applications using Kotlin, including shipping and supporting features in production.
  • Experience owning well‑defined components or services within a mobile application, including API consumption, data modeling, and integration with backend systems.
  • Solid understanding of Android fundamentals (lifecycle, layouts, networking, threading) and core software engineering practices such as code reviews, testing, and version control, including familiarity with AI‑driven systems, tools, or workflows and the ability to safely integrate AI/ML‑enabled solutions into mobile features under guidance.
Preferred Qualifications:
  • Proficient in Kotlin for modern Android application development.
  • Experienced with Jetpack Compose for building scalable, declarative Android UIs.
  • Knowledge of mobile design patterns and Android architectures (such as MVVM or similar), including clear module boundaries, API design, and scalable data models.
  • Track record of improving performance, reliability, and observability of Android features at scale using metrics, logging, and experimentation to guide decisions.
  • Experience contributing to or influencing mobile application technical design, including system design for feature areas, API contracts with services, and low‑level UI interaction design.
  • Demonstrated practice of operational excellence for mobile apps, including monitoring, alerting, on‑call participation, and iterative improvements based on incident learnings.
  • Safely integrates and operates AI/ML‑enabled solutions that improve outcomes, with hands‑on experience leveraging AI‑driven tools in development workflows or mobile product features appropriate to this level, and familiarity with applying AI/ML concepts to enhance…
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