About the Role

We are seeking a skilled Mobile Application Developer to design, develop, test, and deploy high-quality cross-platform mobile applications using React Native and TypeScript for iOS and Android. This role involves leveraging modern AI coding assistants to accelerate delivery without compromising quality.

Responsibilities

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  Design, develop, test and deploy high-quality cross-platform mobile applications using React Native and TypeScript for iOS and Android.

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  Take ownership of feature delivery end-to-end, from technical design through release, monitoring and post-launch iteration.

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  Translate product requirements into clear technical specifications and design documents.

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  Contribute to and influence the mobile architecture, including state management, navigation, offline behavior, modularization and native bridges.

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  Work with the React Native New Architecture (Fabric, TurboModules, JSI) and Hermes to deliver performant, memory-efficient applications.

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  Build and maintain reusable component libraries and shared modules used across multiple Foodhub brands and applications.

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  Develop and integrate native modules in Swift and Kotlin where required, and debug native build issues across Xcode and Android Studio.

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  Optimize application performance, including bundle size, startup time, frame rates, list virtualization, memory usage and crash rates.

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  Implement and maintain robust automated testing using Jest, React Native Testing Library and end-to-end frameworks such as Detox or Maestro.

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  Own and improve mobile CI/CD pipelines using tools such as Fast lane, EAS Build, App Center or equivalent.

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  Lead code reviews with a strong focus on quality, security, accessibility and maintainability.

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  Establish and maintain project-level AI context configurations and coding standards documentation.

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  Mentor mid-level and junior engineers on React Native, TypeScript, mobile best practices and the responsible use of AI development tools.

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  Collaborate closely with Product, Design, Backend, QA and EPOS/POS teams to translate business requirements into well-scoped technical solutions.

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  Contribute to engineering standards, documentation, technical specifications and the continuous improvement of team processes.

Preferred Skills

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  Familiarity with emerging standards such as the Model Context Protocol (MCP) and the integration of AI tooling into developer workflows is desirable.

Qualifications

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  Minimum 5+ years of professional software engineering experience.

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  At least 5 years of hands-on production experience building React Native applications in TypeScript.

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  Demonstrable experience shipping and maintaining mobile applications that are live on the Apple App Store and Google Play Store.

Required Skills

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  Strong, advanced-level TypeScript skills, including strict mode, generics, discriminated unions, utility types and disciplined API typing.

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  Practical experience with the React Native New Architecture (Fabric, TurboModules, JSI) and the Hermes JavaScript engine.

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  Deep understanding of React Native internals, including the bridge, lifecycle, rendering pipeline, reconciliation and threading model.

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  Experience writing or extending native modules in Swift (iOS) and Kotlin (Android).

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  Proficiency with modern state management approaches such as Redux Toolkit, Zustand, Jotai, MobX or React Query.

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  Strong working knowledge of React Navigation, including deep linking, universal links, App Links and complex navigation patterns.

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  Experience with offline-first architectures, secure local storage, push notifications, background tasks and OTA updates.

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  Hands-on experience with mobile CI/CD pipelines using tools such as Fast lane, EAS Build, Bitrise or App Center.

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  Strong testing discipline using Jest, React Native Testing Library and at least one end-to-end framework.

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  Solid understanding of REST and/or GraphQL API integration, authentication flows and secure communication on mobile.

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  Working knowledge of mobile application security best practices.

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  Proficiency with Git and modern branching workflows.

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  Daily, hands-on use of AI coding assistants as a core part of the development workflow.

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  Demonstrated judgment in applying AI assistance appropriately.