Lead IT Engineer - Productivity Systems

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the Role

We are looking for an experienced engineer who thrives on solving "meta-problems"—fixing the tools and processes that other teams rely on. You will be responsible for designing and implementing high-leverage automation, managing enterprise tool rollouts (e.g., Postman, n8n), and defining the technical governance for our next-generation AI workflows.

Key Responsibilities

• Lead the implementation and maintenance of automation platforms (e.g., n8n ) to orchestrate workflows across business units.
• Design and optimize critical communication infrastructure (e.g., AWS SES , email delivery resilience) to ensure high availability for internal and transactional messaging.
• Drive the technical strategy for AI adoption within engineering workflows.
• Develop governance frameworks to ensure safe, compliant, and effective use of AI coding assistants and agents.
• Build "Minimum Control Platforms" that balance developer freedom with security and operational risk requirements.
• Define and enforce usage standards for developer tools (e.g., Postman for API lifecycle), ensuring consistency across squads.
• Conduct "Discovery Design" for new internal products, ensuring they are inclusive and scalable across different technical frameworks.
• Act as a technical reference for the domain, influencing architectural decisions beyond the immediate team. Mentor senior engineers and partner with stakeholders (ITSec, Privacy) to align technical solutions with company policies.

What are we looking for?

Technical Skills

Solid Software Engineering Background: Proficiency in modern programming languages (Clojure, Java, or Python preferred) and distributed systems.

Infrastructure & Cloud: Strong hands-on experience with AWS (specifically services like SES, Lambda, IAM) and Infrastructure-as-Code (Terraform/CloudFormation).

Automation Mindset: Experience with workflow automation tools (n8n, Zapier, or custom orchestration engines) and API integration.

AI/LLM Familiarity: Interest or experience