Mobile Engineer II (Android)

TL;DR

Mobile Engineer II (Android): Design, develop, and maintain Android applications for loyalty experiences using Kotlin with an accent on clean architecture, testability, UI flows, and AI/ML integration. Focus on implementing performant features, system design for APIs and data persistence, collaboration with cross-functional teams, and ensuring reliability through testing and best practices.

Location: United Kingdom - London (flexible work model with offices, cross-functional squad in London)

Company

hirify.global powers global travel for brands like Expedia, Hotels.com, and Vrbo, building platforms and experiences for loyalty programs.

What you will do

• Design, develop, and maintain Android apps using Kotlin, focusing on clean architecture, testability, and maintainability.
• Implement high-quality UI and interaction flows aligned with UX specs, ensuring performance, accessibility, and platform consistency.
• Collaborate with product, design, backend, and other teams to define requirements, deliver features improving traveler experiences.
• Contribute to mobile system design including API patterns, data modeling, local persistence, and backend/SDK integrations.
• Write unit, integration, and UI tests, participate in code reviews, follow best practices for reliability and observability.
• Apply AI/ML concepts to enhance mobile experiences and integrate AI-driven solutions safely.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience in mobile development.
• Professional experience building and shipping Android apps with Kotlin, GraphQL, RESTful APIs, JSON data models.
• Experience owning features from implementation to maintenance in production.
• Proficiency with Android tools/frameworks (Jetpack Compose, Android SDK, Gradle, MVVM/MVI), system design for modules, APIs, persistence.
• Familiarity with AI-driven systems, tools, workflows, and AI/ML concepts applied to products.

Nice to have

• Experience with modular Android architectures, data models, API layers, LLD for complex features.
• Background in large-scale/high-traffic apps, performance optimization, monitoring.
• Collaboration on architecture, technical docs, API/data patterns across teams.
• Using experimentation, metrics, data for feature decisions and user journeys.
• Integrating AI/ML in mobile apps for recommendations, personalization, from concept to adoption.

Culture & Benefits

• Open culture valuing diversity, inclusion, and shared success guided by Values and Leadership Agreements.
• Full benefits: travel perks, generous time off, parental leave, flexible work model with offices, career development.
• Work in cross-functional squad owning Android loyalty experiences and GraphQL services.