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Doit is seeking a talented full stack engineer to help build and scale our AI Neobank app. You’ll work across frontend, backend, APIs, and internal tools to turn ideas into working products quickly and with a strong product focus.
You will collaborate with product, design, mobile, backend and AI engineers, own features end-to-end, and contribute to scalable automation and improved workflows. This role is hybrid in the UK with a strong emphasis on shipping real, impactful software.
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 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 full stack engineers to build fast across Doit's AI Neobank app.
This role is for product-minded engineers who can move across frontend, backend, internal tools and customer journeys to turn ideas into working products quickly.
We are looking for engineers with real technology career highlights. A strong highlight is not just working at a famous company. A strong highlight means you personally helped build, ship or scale a serious product, platform or system.
This role is based in UK. This is a hybrid role. You are expected to work from our UK office at least 3 days per week.
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. Technical 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.