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Lead Software Engineer

Nubank


Job Location:

Palo Alto, CA - USA

Yearly Salary: USD 230000 - 276000
Posted: 9 August 2026 (30+ days ago)
Application Deadline: 20 December 2026
Vacancies: 1 Vacancy

Job Summary

About Nu

Nu serves more than 140 million customers guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.

Proprietary technology and data at scale power Nus digital platform built to promote financial access advancement and transparency. Its business model thrives on customer love and lower costs feeding a flywheel of growth and profitability.

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About the Role

As a Software Engineer you will join a small senior group shaping the core technology that powers Nubank globally from data and experimentation platforms to shared services that support products across multiple business units and geographies.

The work is highly 01 with a strong emphasis on longterm impact technical quality and global scale rather than oneoff features.

Youll be responsible for
  • Designing building and operating distributed backend services and APIs that support core platforms used by multiple product teams worldwide.

  • Owning services endtoend from architecture and implementation to observability reliability and continuous improvement in production.

  • Defining clear contracts SLOs and guardrails so internal teams can safely build on top of the platforms you own.

  • Collaborating closely with data ML and infrastructure engineers to turn models datasets and lowerlevel components into robust easytouse internal products.

  • Leading 01 and modernization initiatives making pragmatic tradeoffs and setting technical standards for highleverage systems.

We are looking for a person who has
Required
  • Solid experience as a backend or platform engineer owning production systems endtoend (design implementation operations and ongoing evolution).

  • Proven track record working with distributed systems at scale and building APIs or microservices on modern cloud infrastructure.

  • Experience building or supporting platformlevel services where many teams depend on your systems for their daytoday work.

  • Comfort operating in ambiguous fastchanging contexts and driving 01 technical decisions with a longterm mindset.

  • Strong collaboration and communication skills including working effectively with engineers across disciplines and locations.

Nice to have
  • Experience with data ML or AIrelated infrastructure (e.g. experimentation model serving or ML platforms) used by multiple product teams.

  • Exposure to highly regulated or safetycritical domains (such as financial infrastructure or crypto) where reliability compliance and auditability are essential.

  • Background in fastgrowing global tech companies designing systems that work across products markets and regulatory environments.

  • Experience mentoring other engineers and contributing to raising the engineering bar through reviews discussions and hiring.

Location & Work Model

Key Skills

  • Campaigns
  • JSP
  • Dhtml
  • Loans
  • Automobile

About Company

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