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Doit is seeking an Android software engineer to build the native Android experience for our AI Finance Agent. You will ship clean, fast mobile features for insurance, payments and financial services used by real customers.
Work with product and design to simplify complex journeys, integrate REST APIs, and improve performance, crash rate and memory usage. Candidates should have 3+ years of Kotlin Android development and a strong UX focus.
We are focused on reinventing how people spend, save, invest, exchange, travel, and more. Our objective is to build tools that will help people get more from their money and become an expert at ease. We believe AI will help make finance smart, assessible and safe.
We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few. We have teams working around the world, with over 20 nationalities and growing from our offices and remotely. Join us and build a better future for our society.
In 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia.
We are looking for Android software engineers to build the native Android experience for Doit's AI Finance Agent.
This role is for someone who cares about clean user flows, fast performance, product quality and shipping reliable mobile features used by real customers.
This role is remote, but candidates must be based in US. We are hiring specifically for this market, so applicants should already be based in US.
English is our main working language across global teams. Strong English communication is required.
Our process is designed to move fast:
1. Online assessment or practical task
2. Role-specific interview
3. CEO / final round
For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.