Staff SRE Engineer - Data Infra

Nubank
Brazil, Sao PauloPosted 20 March 2026

Job Description

About Us Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/ About the team We are seeking an experienced and highly motivated Staff Site Reliability Engineer to join our Data Infra SRE team. This critical role will play a pivotal part in shaping the future direction of the SRE team for our Data Platform, contributing significantly to its evolution plan, as we go toward a Data Mesh architecture. We are looking for an individual with a proactive and entrepreneurial mindset who can drive innovation and excellence in reliability engineering. We are seeking an experienced and highly motivated Staff Site Reliability Engineer to join our Data Infra SRE team. This critical role will play a pivotal part in shaping the future direction of the SRE team for our Data Platform, contributing significantly to its evolution plan. While the team was initially formed under specific circumstances, our ambitious decentralization goals mean that we cannot scale effectively without a heavy investment in automation. Therefore, our vision is to heavily invest in automation with AI and AI agents, leveraging new frameworks like LangGraph alongside more classical automation approaches. For example, we aim to drastically reduce the time and effort involved in data platform crash resolution and coordination through intelligent automation. Another key initiative is to develop a "swarm of AI agents" that will act as a lubricant for the Data Platform, focusing on sophisticated anomaly detection mechanisms and predictive analytics to preventatively detect problems and automatically notify the respective responsible teams. This innovative approach will allow us to achieve unprecedented levels of reliability and efficiency. We are looking for an individual with a proactive and entrepreneurial mindset who can drive innovation and excellence in reliability engineering.. Your role Your contributions in this role will directly address critical challenges, such as: Strategic Direction and Evolution: Proactively identifying opportunities and leading initiatives to define and refine the strategic direction of the SRE team within the data platform context, specifically contributing to the Archipelago evolution plan. Architectural Leadership: Providing architectural guidance and expertise for the design, implementation, and maintenance of highly reliable, scalable, and performant data infrastructure. Incident Management and Resolution: Leading the effort in establishing and refining incident response protocols, ensuring efficient resolution of critical data platform issues, and driving post-incident analysis for continuous improvement. Performance Optimization: Identifying and implementing solutions to optimize the performance, efficiency, and resource utilization of the data platform. Automation and Tooling: Championing the development and adoption of advanced automation solutions, including leveraging AI and AI agents with new frameworks like LangGraph, for tasks such as data platform crash resolution and coordination. You will also oversee the development of more classical automation tools. Proactive System Health: Designing and implementing advanced monitoring, alerting, and anomaly detection mechanisms to ensure the proactive identification and prev ... (truncated, view full listing at source)
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