Technical Engineering Leader

Who We Are

At Yuno, we are building the payment infrastructure that enables all companies to participate in the global market.

About The Role

We are looking for an experienced Engineering Leader to join our team. As a Technical Leader, you will lead a core part of our payments ecosystem, building and evolving solutions that serve enterprise clients using our payments platform.

Responsibilities

• Lead the technical evolution of Yuno's merchant experience, focused on Core platform, APIs, and payment integrations.
• Own system and integration architecture connecting backend services and payment flows.
• Contribute hands-on to development, architecture decisions, and code reviews.
• Ensure scalable, maintainable, and well-documented solutions for enterprise merchants.
• Collaborate with Product, Backend, and Payments teams to align platform and merchant needs.
• Drive engineering best practices in API design, testing, and performance.
• Support and mentor engineers through technical guidance and architectural direction.

What We Offer at Yuno

• Competitive Compensation.
• Remote Work – You can work from everywhere!
• Home Office Bonus – A one-time allowance to help you create your ideal home office.
• Work Equipment.
• Stock Options.
• Health Plan wherever you are.
• Flexible Days Off.
• Language, Professional, and Personal Growth courses.

Skills You Need

• Advanced English; conversational Spanish is a plus.
• Experience in payments companies or payments-related teams.
• Deep experience in payments infrastructure, including network tokens, routing, and transaction optimization.
• Staff-level technical leadership experience, with the ability to influence architecture, mentor engineers, and represent technical decisions to both technical and non-technical audiences.
• Strong backend engineering experience, with focus on implementation and system design.
• Proven experience building and maintaining platforms, APIs, and integrations.
• Solid understanding of scalable architectures and distributed systems.
• Hands-on experience with Java, Golang or Kotlin.
• Experience contributing to technical decisions and code reviews.
• Hands-on experience leveraging AI tools and systems (e.g. Claude, AI agents, or LLM-powered workflows) to improve developer productivity or platform capabilities.