Nu is the world’s largest digital banking platform outside of Asia, serving over 123 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. The Company is preparing for its next growth cycle where it will accelerate its internationalization process outside Latin America, and will also enter new verticals beyond financial services in its core markets taking advantage of the significant customer penetration. We are looking for a Senior Staff Software Engineer to lead the technical evolution of our Credit Card platform. This is not a traditional maintenance role. You will be the architect of a profound transformation: leveraging Generative AI to automate complex operational tasks and orchestrating the global migration from our current systems to a unified, future-proof architecture. You will be a key partner to the Engineering Leadership and a reference for the entire engineering community. Your goal is to design and operationalize a technical strategy that uses AI to increase operational efficiency while accelerating our global migration, ensuring: Intelligent Maintenance: Implementing AI agents to analyze tickets and crashes, automating resolutions for the global credit card environment. Seamless Migration: Leading the coexistence strategy between legacy and new platforms across Brazil, Mexico, and Colombia, ensuring data integrity and a flawless customer experience. Technical Excellence: Solving deep architectural bottlenecks in high-scale distributed systems and raising the bar for software design globally.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees