Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments
Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures
Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups
Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions
History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact
In-depth knowledge of credit card/payment systems design is a significant differential
Experience with Clojure or similar functional languages
Proven interest or experience in leveraging AI to optimize engineering workflows
Deep domain knowledge of credit card processing or financial ledgers
Location & Work Model
This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto or Miami), or Canada (Toronto)
Location-Specific Disclosures
Total compensation includes base salary, RSUs and benefits
This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks
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