Lead Software Engineer - BR

Nubank; São Paulo; Hybrid; BRL 180,000 - 300,000; Full time

Benefits offered by this job

Equity

Meal Card

Public Transportation

Parental Leave

Wellness & Insurance

Learning Platform

Remote Work Allowance

Gym Partnerships

25 days vacation

Relocation Support

Job summary

Nubank is hiring software engineers who operate at the intersection of data, intelligence, and scale. You’ll build systems that process millions of decisions daily, from fraud detection to credit modeling, powered by AI.

Engineers here shape how intelligence is deployed in production with autonomy, rigor, and impact.

Qualifications

• Programming in Python, Clojure, Scala or Java.
• Understanding data pipelines, ETL/ELT and data modeling.
• Familiarity with ML model lifecycle, training, evaluation and deployment.
• Experience with distributed systems and microservices architectures.
• Strong communication with tech and business stakeholders.
• Experience with scalable data platforms and observability.

Responsibilities

• Design, build and maintain robust data pipelines and distributed systems at Nubank.
• Deploy and monitor ML models in production, ensuring reliability and performance.
• Collaborate with teams to translate business needs into data products.
• Lead data and engineering projects end-to-end from requirements to delivery.
• Contribute to design, documentation, maintenance of data codebases and tooling.
• Mentor peers and share knowledge across Nubank.

Skills

Python

Clojure

Scala

Java

Distributed systems

Data pipelines

Tools

Datomic

Looker

Power BI

Tableau

AWS

Job description

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.

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

At Nubank, software engineers sit at the intersection of data, intelligence, and scale. We build systems that process millions of decisions daily, from fraud detection to credit modeling and increasingly, we do this powered by AI. Machine learning is embedded across our core products: in how we assess risk, personalize experiences, and automate decisions at scale. Engineers here don't just consume AI capabilities; they help shape how intelligence is built, deployed, and maintained in production.

We do it with engineering rigor, autonomy, and a deep focus on impact. Our engineers work across the full spectrum: designing data pipelines and architectures, deploying and maintaining ML models in production, and building the distributed systems and platforms that power our products. We value small, independent teams that move fast, own their decisions end-to-end - from requirements gathering and stakeholder alignment to delivery and iteration.

We Strive For State-of-the-art Software Development Practices Across Our Entire Stack. While We Value Candidates Familiar With Our Technologies, We're Confident That Engineers Who Join Nubank Will Learn And Grow Alongside Our Team

• Horizontally scalable microservices written mostly in Clojure, leveraging functional programming and hexagonal architecture
• High-throughput event-driven architectures for inter-service communication
• Continuous Integration and Deployment into cloud-native infrastructure
• Distributed transactional systems built on Datomic, modeling complex business domains with immutable data and strong consistency
• Modern data platforms built on ETL/ELT best practices, with robust monitoring and observability
  

Our Software Engineers

• Work with large scale distributed systems
• Collaborate with building microservices
• Design, build and maintain robust data pipelines, distributed systems and ML-enabled solutions, ensuring reliability, scalability and performance at scale
• Deploy and maintain ML models in both batch and real-time scenarios, integrating them with other systems and monitoring through operational and business metrics
• Lead data and engineering projects end-to-end - from requirements gathering and stakeholder alignment to delivery and iteration
• Contribute to the design, documentation, maintenance and optimization of our data codebase, platforms and tooling
• Translate business needs into data products and technical solutions aligned with Nubank's architecture and long-term strategy
• Partner with technical and business stakeholders to define strategies and deliver high-impact solutions
• Share knowledge, mentor peers and contribute to engineering and data literacy initiatives across Nubank
  

What We're Looking For

• Programming experience in one or more general-purpose languages (e.g. Python, Clojure, Scala, Java)
• Familiarity with analytical data environments and data engineering concepts: pipelines, ETL/ELT, data modeling and storage
• Understanding of ML model lifecycle, from training and evaluation to deployment and monitoring
• Familiarity with distributed systems, microservices and asynchronous architectures
• Strong communication skills to collaborate with both technical and business stakeholders
• Passion for building high-quality software and data products
  

Nice to Have

• Experience with cloud platforms such as AWS, GCP or Azure
• Knowledge of data architecture patterns (Data Lake, Data Warehouse, Data Mart)
• Familiarity with ML frameworks and feature engineering pipelines
• Experience with data visualization tools (Looker, Power BI, Tableau or similar)
• Knowledge of software engineering best practices: testing, clean code, documentation
  

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 and Dental Plan
• NuLanguage - Language Course Program
• Nucleo - Our learning platform
• Extended Parental Leave, Daycare Allowance and Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable
  

Work Model

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 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.