远程工作雷达

软件工程师负责人(云网络)

Lead Software Engineer (Cloud Network)

开发工程未标注地域
公司Nubank
薪资未公开
工作地点São Paulo
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间今天
数据来源Ashby
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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,开发创新产品和服务,引领行业变革。

秉承着对抗复杂性并赋能人们的使命,Nu 为客户完整的金融旅程提供服务,通过负责任的贷款和透明度促进金融准入和进步。公司由一个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

Nubank 每笔交易在到达客户之前都会经过一个网络。随着我们在国家、账户、地区和混合环境中的扩展,底层的连接层必须保持快速、分段、可审计且运行成本低廉——同时永远不会成为让平台崩溃的因素。

作为 Cloud Network 平台工程团队的高级软件工程师,你将设定并推动你所负责的云网络平台的技术方向。你将负责那些跨越多个团队和业务单元的问题,并期望你为模糊的状况带来结构,而不是等待它被解决。

这是一个 IC6 职位:你通过技术深度、设计权威性和影响力来领导,而不是通过直接下属。你所负责的目标是打造一个能够随着业务扩展、在审计中经得起考验,并随着时间推移变得越来越简单的云网络平台。

你将负责

- 设定并推动你所在团队所负责的云网络平台的技术方向,与 Nubank 的标准方法保持一致,并为更广泛的技术社区做出贡献。

- 领导跨多账户、多区域、多地理区域和混合云拓扑结构的连接模式的高层和低层设计,独立地在多组件、多团队的设计中做出合理的架构决策。

- 全程管理复杂的网络项目和流程——独立工作,协调各个主题和利益相关者,并在需要时及时向上级寻求支持,而不是被动应对。

- 主动减少长期存在的问题

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

Every transaction at Nubank travels across a network before it reaches a customer. As we grow across countries, accounts, regions and hybrid environments, the connectivity layer underneath has to stay fast, segmented, auditable and cheap to run — while never becoming the thing that takes the platform down.

As a Lead Software Engineer on a Cloud Network platform engineering team, you set and evolve the technical direction for how Nubank connects its cloud, hybrid and on-premises environments. You own problems whose scope spreads across several teams and business units, and you are expected to bring structure to ambiguity rather than wait for it to be resolved for you.

This is an IC6 role: you lead through technical depth, design authority and influence rather than direct reports. The goal you own is a cloud network platform that scales with the business, holds up under audit, and gets simpler over time instead of more complex.

YOU'LL BE RESPONSIBLE FOR

- Setting and evolving the technical direction of the cloud network platform owned by your team, aligning with Nubank's canonical approaches and contributing back to the broader technical community.

- Leading high-level and low-level design for connectivity patterns across multi-account, multi-region, multi-geo and hybrid-cloud topologies, independently making sound architectural decisions in multi-component, multi-team designs.

- Managing complex network projects and processes end to end — working independently, coordinating across subjects and stakeholders, and escalating for managerial support in a timely way rather than reactively.

- Proactively reducing long-term complexity through simplification, consolidation, deprecation and paved roads, explicitly balancing scalability, maintainability and cost, and considering both human and AI interaction with the platform.

- Owning the operational health of the network platform in your team's scope: leading complex incident response (diagnosis, coordination, resolution), driving complex postmortems, and owning the short- and long-term tech debt strategy that comes out of them.

- Promoting a culture of safe change — feature flags, gradual rollout, monitoring, fast rollback — applied to network changes, and driving simplification and cost optimization across the topology.

- Setting and enforcing quality standards for the team's automation and infrastructure code: testing practices, code review bar, reusable modules, and anticipation of quality and maintainability needs coming from business strategy.

- Defining observability for the platform — robust monitoring, controls and SLAs that surface issues proactively rather than after customer impact.

- Bringing a strong end-to-end domain understanding: tracing a business process from product through the transactional path down to the network and data layers, and understanding how network design choices propagate through it.

- Owning the network security posture of your scope, including PCI DSS or equivalent standards, segmentation, and controls that hold up under audit.

- Evaluating buy vs. build options and new products and technologies, being data-driven about stability, reliability, scalability and cost before committing to a solution.

- Mentoring IC4/IC5 engineers on the broader system landscape, design reasoning and operational practice, and raising the bar of the people around you.

- Participating in hiring as a core part of the role, contributing to function-wide taskforces and initiatives, and documenting decisions so that knowledge travels across teams, not just within yours.

WE ARE LOOKING FOR A PERSON WHO HAS

- CCIE, CCNP or equivalent experience — you are comfortable designing, building, implementing, maintaining and troubleshooting complex, large-scale networking infrastructures.

- Solid hands-on experience in infrastructure automation and cloud computing (AWS preferred), with depth in AWS networking services — Transit Gateway, VPC design, Direct Connect, PrivateLink, Route 53, NAT/egress patterns, network firewalls — or similar technologies.

- Deep experience planning, deploying and troubleshooting network solutions at scale: IP address management, BGP and dynamic routing, firewalls, load balancers, routers and switches, and hybrid connectivity.

- Strong coding skills (python, .Net. Java, Go etc.)

- Experience leading incident response and root cause analysis for high-impact, ambiguous failures across team boundaries.

- Strong leadership: you confidently lead complex projects that carry ambiguity and require strategic thinking, with or without formal authority.

- Experienced communication: you convey complex technical messages clearly and persuasively to technical and non-technical audiences, adjusting depth and examples to the room, and you facilitate productive discussion rather than just presenting.

- Strategic acumen and long-term perspective: you connect network platform decisions to business drivers such as operational efficiency, reliability and cost, link 6–12 month initiatives to the broader organizational strategy, and anticipate cross-team impact and trade-offs.

- An analytical profile: you go after root causes and propose solutions that hold, working creatively and analytically in a continuous improvement environment.

- English proficiency — able to read, write and lead discussions across time zones and language boundaries.

Location for this opportunity (City, Country)

São Paulo, Brazil



OUR BENEFITS

- Chance of earning equity at Nubank

- Food/Meal Card (Vale-Refeição and/or Vale Alimentação)

- Public Transportation Commuting Benefit (Vale-Transporte)

- NuCare — Psychological, Financial and Legal Assistance Program

- Life Insurance

- Medical Plan

- Dental Plan

- NuLanguage — Language Course Program

- Nucleo — Our learning platform of courses

- Extended Parental Leave

- Daycare Allowance

- Parental Consultancy

- Work-from-home Allowance

- Gym Partnerships

- 30 days of paid vacation

- Relocation Assistance Package, if applicable


WORK MODEL FOR THIS ROLE

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

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.

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