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Salary
$78k – $162k per year (Estimated)
Location
Remote/Hybrid (São Paulo, Brazil)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
Nubank (Nu Holdings Ltd.) is the largest digital banking platform and fintech company in Latin America, headquartered in São Paulo, Brazil. Founded in 2013 by David Vélez, Cristina Junqueira, and Edward Wible, Nubank launched as a pioneer in fee-free credit cards managed entirely through a mobile app. It has since grown into a full-scale financial services platform serving over 100 million customers across Brazil, Mexico, and Colombia.

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 ourInstitutional Page

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 inSão Paulo, Campinas, Belo Horizonte, orRio 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.

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