Software Engineer (Financial Services)
São Paulo
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CloudWalk
Our mission is to create the best payment network on Earth. Then other planets.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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture CI/CD Data pipelines Django Docker Engineering FastAPI Finance FinTech Flask GCP Git Google Cloud Kafka Kubernetes LLMs Machine Learning MLFlow ML models MLOps Model deployment Pipelines Python SQL Testing
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