Strong programming skills in Python., Experience in building and deploying REST APIs with frameworks like Flask, FastAPI, or Django., Knowledge of containerization (Docker) and orchestration (Kubernetes)., Experience with cloud platforms such as Google Cloud..
Key responsibilities:
Architect and build scalable financial services and data pipelines.
Integrate machine learning models and rule engines to automate decision-making.
Own the full lifecycle of services from discovery to operational excellence.
Mentor peers and promote best practices in software engineering.
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We are democratizing the payments industry in Brazil, by empowering entrepreneurs through technological, inclusive, and life-changing solutions.
Based in Brazil, CloudWalk is a high-end global payment network built on modern technology and proprietary blockchain, focused in bringing a revolution to the payment ecosystem for small and medium-sized businesses. As a unicorn, the company has provided its customers with more than R$ 1 billion in savings by charging fair fees on its transactions and is now present in more than 300.000 businesses across 5.000 brazilian cities.
With investors such as the Valor Capital Group, HIVE Ventures and Coatue, the company has already raised US$ 365.5 million in investments and R$3.4 billion in FDICs for anticipation of receivables in its network of financial solutions. In 2022, it was the only brazilian fintech to be featured in the "The Retail Tech 100" ranking by CB Insights, on the "Protection Solutions for Payments and Frauds".
We’re an AI‑first fintech on a mission to rebuild Brazil’s payment infrastructure. Yes, we’re a unicorn — but valuations don’t excite us as much as impact. We obsess over the day‑to‑day challenges our clients face, and we turn advanced technology into elegant and fast financial experiences. If you see data as more than numbers, code as more than syntax, and finance as more than ledgers, CW may be a place for you.
About the team:
We are the platform that powers CloudWalk’s money movements and credit decisions. Our domain spans everything from real‑time credit engines and repayment orchestration to dynamic pricing and debt collections. We keep the lights on for merchants by running scoring, underwriting models, credit policy and governance, and pricing eligibility to ensure every client interaction is fast, fair, and traceable.
Every feature we ship must be safe, compliant, explainable, and lightning‑fast—all at once. That’s the puzzle we wake up for.
The Challenge:
Credit: accelerate model deployment cycles while tightening governance and policy frameworks so we can launch new lending products without losing sleep.
Price modelling: scale and refine multi‑signal evaluations that spot high‑value merchants and instantly tailor fees.
Collection: plug in multiple partners and payment rails, track every interaction end‑to‑end, and build a notifications pipeline that never drops a beat.
All of this runs on a micro‑service mesh that processes billions of BRL each month and is evolving toward event‑driven, AI‑augmented decisioning. Your architecture choices will shape credit limits, default rates, pricing fairness, and ultimately the livelihoods of Brazilian merchants.
What You’ll Do:
Architect & build resilient, scalable services and data pipelines that keep our financial engines humming.
Infuse intelligence: integrate ML models, LLM agents, and rule engines to automate and sharpen decision‑making.
Own the full lifecycle: from discovery to observability, SRE mandates, and continuous delivery.
Champion quality: drive testing strategies, incident reviews, and operational excellence that earns trust.
Mentor & amplify: share knowledge freely, unblock peers, and raise the collective bar.
What you’ll need:
Initiative to learn, investigate, experiment.
Ability to communicate and debate in English and Portuguese.
Excellent problem-solving and communication skills.
Strong programming skills (Most used language: Python).
Experience in building and deploying REST APIs using frameworks like Flask, FastAPI, or Django.
Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD.
Experience with cloud platforms such as Google Cloud.
Bonus points if you have:
Experience with MLOps tools and platforms (e.g. MLflow).
Experience with real-time data processing frameworks (e.g. Kafka).
Great SQL skills.
Recruitment Process Outline:
Online assessment: an online test to evaluate your theoretical skills and logical reasoning.
Case: a technical project where you'll deploy a machine learning model for real-time inference.
Technical interview and case presentation.
Cultural interview.
If you are not willing to take an online quiz and work on a test case, do not apply.
We are committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds to apply.
Required profile
Experience
Spoken language(s):
EnglishPortuguese
Check out the description to know which languages are mandatory.