Nubank
Principal Software Engineer - Credit Card Core Platforms
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
Visit our Institutional Page
About the role
We are looking for a Senior Staff Software Engineer to lead the technical evolution of our Credit Card platform. This is not a traditional maintenance role. You will be the architect of a profound transformation: leveraging Generative AI to automate complex operational tasks and orchestrating the global migration from our current systems to a unified, future-proof architecture. You will be a key partner to the Engineering Leadership and a reference for the entire engineering community.
Mission
Your goal is to design and operationalize a technical strategy that uses AI to increase operational efficiency while accelerating our global migration, ensuring:
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Intelligent Maintenance: Implementing AI agents to analyze tickets and crashes, automating resolutions for the global credit card environment.
- Seamless Migration: Leading the coexistence strategy between legacy and new platforms across Brazil, Mexico, and Colombia, ensuring data integrity and a flawless customer experience.
- Technical Excellence: Solving deep architectural bottlenecks in high-scale distributed systems and raising the bar for software design globally.
Core Responsibilities
- Migration Strategy: Define the long-term roadmap for decommissioning legacy systems, starting with the 1-year migration plan for the Colombian market.
- AI-Driven Engineering: Architect and integrate AI solutions (cloud-based agents) to automate infrastructure maintenance and data migration.
- Strategic Partnership: Collaborate with General Managers, PMs, and Staff+ ICs to align technical decisions with business needs across different countries.
- Mentorship & Culture: Mentor senior engineers, fostering a culture of pragmatism, excellence in distributed systems, and the adoption of cutting-edge AI tools.
Challenges & Opportunities
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Navigating Complexity: You will work on high-scale systems supporting millions of transactions where every decision impacts customer limits and billing.
- Modernizing the Core: You have the unique opportunity to make "legacy" systems attractive and efficient by applying AI to remove heavy operational toil.
Core Qualifications (What We’re Looking For)
- Proven Track Record: 15+ years of experience in software engineering, with a focus on large-scale distributed systems.
- Migration Mastery: Proven experience leading critical system migrations and managing coexistence between old and new architectures.
- AI Fluency: A strong interest or practical experience in using GenAI/LLMs to solve engineering productivity and data analysis challenges.
- Platform Mindset: Ability to design reusable APIs and contracts that serve multiple product teams with high reliability.
- Global Communication: Fluent English is required to collaborate across our global hubs (Brazil, US, Mexico, and Colombia).
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills