Lead Software Engineer

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.

Nus impact has been recognized in multiple awards including Time 100 Most Influential Companies Fast Companys Most Innovative Companies and Forbes Worlds Best Banks.

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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.

• 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.

• 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.

• 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: Palo Alto United States.

• Work model: Hybrid 23 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 Benefits

  Our benefits program is designed to support your wellbeing and performance while you enjoy life and work. For roles based in the United States our current benefits include:

  • Opportunity of earning equity at Nu

  • Total compensation includes base salary RSUs and benefits. Base salary range: $230000 - $276000

  • Medical Insurance

  • Dental and Vision Insurance

  • Life Insurance and AD&D

  • Extended maternity and paternity leaves

  • Nucleo our learning platform of courses

  • NuLanguage our language learning program

  • NuCare our mental health and wellness assistance program

  • 401K

  • Saving Plans Health Saving Account and Flexible Spending Account

  • Workfromhome Allowance

  • Relocation Assistance Package if applicable

  Explore how we build technology at Nubank: and our podcast on Spotify.

  Our recruitment process may involve the use of artificial intelligenceenabled 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.

  
  

  Required Experience:

  IC