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.
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About the Role
The Service Provisioning team is building the internal platform that manages the lifecycle of over 3,000 microservices. As we modernize our core infrastructure, we are moving away from legacy tools to a more resilient, scalable platform that empowers Nubank engineers to deploy and manage services with ease.
We are looking for a talented engineer to help us achieve a fully automated, dynamic, and safe cloud infrastructure. The core goal is to enable Nubank's massive scaling targets and improve developer experience by:
Designing an Infrastructure Control Plane: Creating a unified system that is decoupled from any fixed infrastructure topology, allowing us to provision resources and deploy applications anywhere—across regions and accounts—with unprecedented flexibility.
Driving Operational Safety and Efficiency: Implementing first-class mechanisms for safely rolling out large-scale infrastructure changes to over 3,000 applications. This includes resolving systemic issues like circular dependencies and eliminating complex, high-friction manual steps in our provisioning workflows.
Streamlining Deployment: Introducing a simplified, robust application configuration and manifest generation process that integrates directly into the CI/CD pipeline, ensuring faster time-to-market for new features and reducing operational overhead.
Your work will be essential in building the core infrastructure platform that underpins Nubank's rapid growth and future stability.
Who You Are
Infrastructure-First Mindset: You have deep, consolidated experience with Cloud Providers (AWS preferred) and a strong mastery of Kubernetes (EKS). You understand the "why" behind infra decisions, not just the "how."
Software Developer at Heart: You enjoy expanding platforms by writing code. You are proficient in Java, Python, or Golang and have experience with distributed systems (Queues, Concurrency, etc.).
High Agency: You thrive in environments with ambiguity. You can navigate complex execution paths and make informed decisions autonomously.
Scale Enthusiast: You have experience working on high-scale platforms and understand the challenges of managing large-scale distributed systems.
Effective Communicator: You possess at least an intermediate to advanced level of English. You can effectively collaborate with a global team and provide technical support in English.
Experience building internal developer platforms (IDP) or infrastructure-as-a-service for other engineers is a huge plus.
Our Benefits
Chance of earning equity
Health Insurance
Life Insurance
NuCare
International business travel insurance
NuLanguage
Vacations
Parental leaves
Work from home allowance
Even if you feel you don't meet every qualification, we encourage you to apply — your unique skills and experiences may be just what we're looking for, and we're excited to learn more about what you can bring to our team.
Role location
Buenos Aires, Argentina
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.