Mobile Engineer II (Android)

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge technology 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.

Within this, the Loyalty Experience organization builds the platforms and experiences that power Expedia Group’s loyalty programmes across Expedia, Hotels.com, and Verbo, helping millions of travellers get more value from every trip.

We’re building a more open world. Join us.

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 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 your passion for travel and ensure a rewarding career journey.

You’ll join a cross‑functional squad in London that owns native Android loyalty experiences as well as the GraphQL ‑ backed services that power them, working closely with product, design, data, and other engineering teams across EG.

In this role, you will: 

• Design, develop, and maintain Android applications using Kotlin, focusing on clean architecture, testability, and long-term maintainability. 

• Implement high-quality UI and interaction flows that align with UX specifications, ensuring performance, accessibility, and consistency with platform guidelines. 

• Collaborate with cross-functional partners, including product, design, and backend teams, to define requirements, surface tradeoffs, and deliver features that improve traveler and partner experiences. 

• Contribute to system design for mobile components, including API consumption patterns, data modeling for local persistence, and integration with backend services and SDKs. 

• Write and maintain unit, integration, and UI tests, participate in code reviews, and follow engineering best practices to ensure reliability, observability, and operational excellence of mobile features. 

• Apply familiarity with AI-driven systems, tools, or workflows and AI/ML concepts to enhance mobile experiences, and safely integrate and operate AI/ML enabled solutions that improve outcomes. 

Minimum Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, or related technical field; or equivalent practical experience in mobile software development. 

• Professional experience building and shipping Android applications using Kotlin in a production environment, including working with GraphQL, consuming RESTful APIs and working with JSON-based data models. 

• Experience owning features or components within a mobile application, from implementation through testing, release, and ongoing maintenance and support. 

• Proficiency with core Android development tools and frameworks (such as Jetpack Compose, Android SDK, Gradle, and common architectural patterns like MVVM or MVI), including basic system design for app modules, API interactions, and data persistence. 

• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products at a feature or component level. 

Preferred Qualifications: 

• Experience designing and evolving modular Android architectures, including clear data models, API interaction layers, and low-level design (LLD) for complex features across multiple app surfaces. 

• Background working on large-scale or high-traffic mobile applications, with an emphasis on performance optimization, stability, monitoring, and operational excellence. 

• Demonstrated ability to collaborate on mobile architecture decisions, contribute to technical design documents, and influence patterns for API design and data modeling across teams. 

• Practice using experimentation, metrics, and data to inform mobile feature decisions, improve user journeys, and refine implementation details. 

• Experience integrating or extending AI/ML enabled functionality in mobile applications in a safe and user-centric way, such as recommendations, personalization, or intelligent assistance, and demonstrated experience taking products or features from concept to scaled adoption.