
Senior Mobile Application Developer
2 weeks ago
We are building a cutting-edge solution to revolutionize the livestock management industry. The system utilizes Electrical Muscle Stimulation (EMS) instead of traditional electric shocks, enabling cattle herding and monitoring through painless muscle cues.
This innovative technology provides farmers with a streamlined and scalable tool to manage their herds efficiently. It offers a key building block to enabling regenerative grazing, a practice that can decrease cattle's carbon footprint by up to 35%.
The intersection of Climate and AI is where you come in. As a Mobile Engineer, your role will involve collaborating with the company founders, product team, and API engineers to develop a mobile application to help manage and monitor herds efficiently.
Your responsibilities will include:
- Partnering with our product team and farming partners to understand their work so you can build an app that meets their requirements.
- Maintaining a high bar of engineering and coding standards.
To be successful in this role, you will need to have:
- 4+ years of experience in building mobile apps using React Native.
- Proficiency in the Typescript ecosystem, including monorepos.
- A thorough understanding of the interface guidelines for Apple and Android apps.
- A proven track record of submitting apps on the App Store and the Play Store.
- Excellent debugging and optimization skills for complex systems.
- Strong communication and collaboration skills.
Bonus points if you have:
- Familiarity with our mapping libraries in React Native or Native frameworks.
- An understanding of the native iOS and Android ecosystems.
- A good knowledge of UX best practices for SaaS based interfaces & AI.
- Contributed to open-source projects.
During your first six months, you will focus on developing a mobile app that allows farmers to view their farm map with multiple layers and annotations. This includes creating virtual polygons to plot the region for their farms on the map, annotating the polygons with points of interest, generating heat maps of the farm livestock activity, and integrating with APIs to let farmers view their livestock on the map.
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