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Doit is looking for Backend Engineers to build the core systems behind our AI-powered Neobank platform. You will design and implement reliable APIs, onboarding and payments workflows, and scalable financial product infrastructure used across markets and millions of users.
You will own reliability, security, latency and data integrity, integrate with partners and internal services, and collaborate with product, frontend, mobile and AI teams to ship features quickly and safely.
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 backend engineers to build the core systems behind BJAK's AI Neobank app.
This role is for engineers who can build reliable APIs, workflows and financial product infrastructure that can scale across markets, partners and millions of users.
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:
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.