资深软件工程师 | 会员计划
Staff Software Engineer | Loyalty
Nu 是拉丁美洲领先的数字银行，为巴西、墨西哥和哥伦比亚的 1.4 亿客户提供服务。公司通过利用数据和专有技术推动行业变革，开发创新的产品和服务。
以“对抗复杂性，赋能人们”为使命，Nu 为客户提供完整的金融旅程，通过负责任的贷款和透明度促进金融包容性和进步。公司由一种高效且可扩展的商业模式驱动，结合低成本的服务与不断增长的回报。
Nu 的影响力已获得多项奖项的认可，包括《时代》杂志“100 家最具影响力公司”、《快公司》“最具创新力公司”以及《福布斯》“全球最佳银行”。
访问我们的机构页面 https://www.nu.com/2026-en
关于该职位
作为资深软件工程师（IC7），您将加入忠诚度团队，负责设计和演进一个高吞吐量的平台，确保我们的客户从生态系统中获得同等价值。
您将在高度协作的环境中工作，与产品、设计和业务分析师合作，解决复杂的工程技术权衡。此职位适合一位在“亲自动手”技术执行中表现出色，同时保持对功能如何影响我们长期目标和庞大客户群的战略视角的工程师。
职责
- 设计并实现能够处理大规模吞吐量的高规模分布式系统，用于我们的忠诚度计划。
- 通过编写干净、高效的代码并参与日常开发活动（“亲自动手”）来推动技术卓越。
- 与产品、设计和业务负责人进行跨职能协调，确保技术解决方案满足多支柱 OKR。
- 构建具有弹性的服务，能够无缝扩展以支持巴西市场的数百万活跃客户。
- 通过建立不同产品功能之间的横向开发最佳实践，指导和培养工程团队。
所需资格
- 在生产环境中构建和维护高规模、高吞吐量的后端服务的经验。
- 从初始架构到长期维护，拥有对复杂功能进行技术主导的明确记录。
- 展现出管理利益相关者并就技术权衡向技术和非技术合作伙伴进行沟通的能力。
- 在大型环境中开发稳健系统的背景。
查看英文原文
ABOUT NU
Nu is the leading digital bank in Latin America, serving 140 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
As a Staff Software Engineer (IC7), you will join the Loyalty team to architect and evolve a high-throughput platform that ensures our customers receive the same value they bring to our ecosystem.
You will operate within a highly collaborative environment, partnering with product, design, and business analysts to navigate complex technical trade-offs. This role is designed for an engineer who thrives on "hands-on" technical execution while maintaining a strategic view of how features impact our long-term objectives and massive customer base.
RESPONSIBILITIES
- Design and implement high-scale distributed systems capable of handling massive throughput for our loyalty program.
- Drive technical excellence by writing clean, performant code and participating in daily development activities ("hands-on").
- Lead cross-functional alignment with Product, Design, and Business leads to ensure technical solutions meet multi-pillar OKRs.
- Architect resilient services that can scale seamlessly to support millions of active customers in the Brazilian market.
- Mentor and grow the engineering team by establishing best practices for lateral development across different product features.
REQUIRED QUALIFICATIONS
- Experience building and maintaining high-scale, high-throughput backend services in a production environment.
- Proven track record of technical ownership over complex features, from initial architecture to long-term maintenance.
- Demonstrated ability to manage stakeholders and communicate technical trade-offs to both technical and non-technical partners.
- Background in developing robust systems within large engineering organizations.
NICE TO HAVE
- Prior experience developing loyalty or rewards-based products.
- Experience with financial technology or distributed ledger concepts.
- Background in managing features that span multiple business domains simultaneously.
LOCATION & WORK MODEL
This role is based in Brazil on a hybrid model. Our Brazilian offices are located in São Paulo, Campinas, Belo Horizonte, or Rio de Janeiro.
DIVERSITY & INCLUSION / EQUAL OPPORTUNITY
At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.