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Yuno is hiring a Staff Engineer to lead architectural decisions and guide engineering teams across the organization. This hands-on leadership role focuses on building scalable, reliable payment platforms and shaping technical strategy for AI-native development.
You will mentor engineers, set technical direction, and tackle the hardest problems, while contributing to roadmap and cross-functional initiatives. The role offers remote work from anywhere with strong growth opportunities.
+8 Years of ExperienceStaff Engineer - Client ExperienceWho We AreYuno 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.
Technical leadership and mentorship - set a high bar for technical excellence, mentor and coach engineers, and foster a culture of continuous improvement across the team
Architecture and system design - architect and build robust, scalable, and maintainable systems, tackling the deepest technical complexity in the platform
Complex delivery - drive the successful delivery of complex, cross-team projects, making sure they meet business goals and ship on time
Technical vision and strategy - contribute to the technical vision and roadmap, and help define and execute engineering strategy aligned with company goals
Cross-functional collaboration - work closely with product, design, and stakeholders, translating technical concepts clearly for technical and non-technical audiences alike
Quality and performance - optimize performance and scalability through efficient algorithms and clean code, and safeguard quality through rigorous testing and reviews
you've led the architecture of at least one major system, become a trusted technical voice on strategy and roadmap, and measurably raised the engineering bar through mentorship, reviews, and the standards you set.
Languages - Go and Kotlin (core), Java
Frameworks - Spring Boot, Spring WebFlux; Go standard library
Messaging - Apache Kafka, SQS
Databases - PostgreSQL, Redis
Infrastructure - AWS, Kubernetes, Docker, Terraform
Observability - Datadog, OpenTelemetry
CI/CD - GitHub Actions, ArgoCD
Version Control - Git / GitHub
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.
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