Staff Software Engineer

Nubank

Brasil

Híbrido

BRL 150 000 - 210 000

Tempo integral

Há 6 dias

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Vantagens oferecidas por esta oferta de emprego

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Public transportation benefit

Parental leave & family support

Work-from-home allowance

Learning & growth programs

Resumo da oferta

Nubank is seeking software engineers to join our hybrid team, building scalable data pipelines, ML-enabled solutions, and distributed systems. You will deploy ML models in production, work across microservices, and partner with business stakeholders to deliver high-impact data products.

Join a high-caliber team that values autonomy, craftsmanship, and measurable impact, with opportunities to advance in a fast-growing fintech environment across Latin America.

Qualificações

Proficient in one or more general-purpose languages (Python, Clojure, Scala, Java).
Experience with data pipelines, ETL/ELT, and data modeling.
Understanding of ML model lifecycle from training to deployment.

Responsabilidades

Work with large-scale distributed systems and microservices.
Design, build and maintain robust data pipelines and ML-enabled solutions.
Deploy and maintain ML models in batch and real-time contexts.
Collaborate with stakeholders to define data products and strategies.
Mentor peers and contribute to engineering and data literacy initiatives.

Conhecimentos

Python

Clojure

Scala

Java

Distributed systems

Data pipelines

Ferramentas

Datomic

Looker

Power BI

Tableau

Descrição da oferta de emprego

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, and hold themselves to a high bar for quality and craft.

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