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Lead Software Engineer - Reliability

Nubank · Miami

RemoteEngineeringEngineerEngineerPosted Last week

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 The U.S. Market team is launching a differentiated financial product in the largest and most demanding financial market in the world. We’re iterating quickly on real customer signals while building systems that will eventually serve customers at Nubank scale. That combination - early-stage velocity, regulatory weight, and high reliability expectations, requires an engineer whose primary mandate is reliability, scale, and operational excellence. This role exists to make sure the systems we’re building today can be trusted in production tomorrow, and to set the bar for what “production-ready” means on this team. The engineer in this role delivers their mandate by writing production code, shaping architecture, and engineering the systems themselves - not by absorbing operational load. YOU'LL BE RESPONSIBLE FOR Define and operate against SLOs. Establish meaningful SLIs and SLOs with product and engineering partners, manage error budgets, and use them as real inputs to prioritization rather than dashboards no one reads. - Build the observability layer. Improve metrics, logs, traces, and alerting so issues are detected early, attributed precisely, and

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