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Lead Systems Engineer (Kafka)

Nubank · Toronto

RemoteEngineeringEngineerEngineerPosted Last week
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About this role

ABOUT NU Nu is the leading digital bank in Latin America, serving 135 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 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our Institutional Page https://www.nu.com/2026-en About the Role We are looking for an experienced software engineer to help evolve and operate Nubank’s messaging platform and the infrastructure that supports asynchronous communication at scale. This role sits in a team responsible for highly critical platform capabilities that support a wide range of internal systems across multiple business domains and countries. The platform operates in a large and complex environment, with hundreds of clusters, thousands of brokers, hundreds of thousands of topics, and very large daily data volumes across multiple AWS accounts. At the Lead level, we are looking for someone who can independently own important technical problems, improve reliability and operability, and drive engineering decisions in partnership with the team. Kafka experience is desirable, but not required. Strong knowledge of distributed systems infrastructure, especially Kubernetes, networking, and AWS, is essential. WHAT YOU’LL BE RESPONSIBLE FOR - Operate and improve large-scale messaging and platform infrastructure based on kafka used by critical systems across Nubank - Contribute to the reliability, scalability, and performance of asynchronous communi

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