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Yuno is seeking a Staff Engineer to lead technical strategy and architecture for global payment systems. You will mentor engineers, shape architecture, and tackle the hardest challenges while building scalable, maintainable solutions in an AI-native environment.
This hands-on leadership role emphasizes design, code, and mentoring; you will influence the platform direction and ensure robust delivery across teams, including performance optimization and quality control.
Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. Through a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally, so they can operate everywhere. Agnostic by design and connected to 1,000+ payment methods and 460+ integrations in 190+ countries, Yuno optimizes acceptance rates, reduces costs, and strengthens security through specialized AI agents that learn from every transaction. Global brands including McDonald's, NetEase Games, GoFundMe, and Rappi run their payments on Yuno.
Yuno is looking for a Staff Engineer to be a senior technical leader across our engineering organization — architecting the robust, scalable systems that process payments for global brands, and raising the technical bar for the teams around you. You'll take on our hardest technical problems, shape architecture and technical strategy, and turn complex, real-world payment challenges into elegant, maintainable solutions.
This is a hands?on leadership role. You'll still design and build, but your impact comes as much from mentoring engineers, driving technical vision, and making the decisions that shape the platform's direction as from the code you write.
As a Staff Engineer at an AI-native company, you'll shape how AI is used across engineering — architecting AI-native systems and helping define the AI-driven development practices the whole org adopts AI is our default execution layer: you're expected to use AI-assisted tooling fluently across design, implementation, testing, and review, and to bring good judgment to how the team does the same.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed or wish to exercise your data protection rights, please contact us at ******.