Senior React Native Engineer
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Job description
Marathon TS is seeking a Senior React Native Engineer for a contract role to maintain and evolve our consumer weather applications on iOS and Android. You will collaborate with cross-functional teams to build performant mobile apps and features, including real-time forecasts, interactive maps, and AI-driven experiences., * Designing, building, and shipping features for TWCo mobile apps across iOS and Android using React Native.
- Collaborating with product managers, designers, and data teams to translate weather data and AI capabilities into intuitive user experiences.
- Owning performance profiling and optimization to ensure smooth rendering, fast load times, and reliable behavior under real-world network conditions.
- Integrating with backend APIs, real-time data streams, and third-party SDKs for weather data, mapping, push notifications, and analytics.
- Contributing to mobile architecture decisions, code standards, and review practices that maintain quality across an actively developed codebase.
Requirements
The ideal candidate possesses expert-level command of React Native and the mobile development lifecycle, with a focus on optimization and reliability at scale. Success requires strong technical decision-making and clear communication to align engineering standards with product goals., * Programming Skills: Proficiency in JavaScript and TypeScript, with strong command of React Native and its ecosystem.
- Platform Knowledge: Solid understanding of iOS and Android platforms, including native module bridging, platform-specific behavior, and app store deployment requirements.
- API Integration: Experience consuming REST APIs, handling real-time data, and managing complex client-side state with tools such as Redux, Zustand, or React Query.
- Version Control: Proficient in Git-based workflows and code collaboration via GitHub or similar platforms.
- Strong problem-solving instincts and the ability to operate effectively in a self-directed, fast-paced, consumer-facing product environment.
- Experience with geospatial data, mapping libraries (e.g., Mapbox, Google Maps), or data visualization. (Nice to have)
- Familiarity with AI feature integration in mobile products, such as personalization, on-device inference, or LLM-backed experiences. (Nice to have)
- Exposure to native iOS (Swift/Objective-C) or Android (Kotlin/Java) development. (Nice to have)
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