Engineer (Financial Services)

1 semana atrás

São Paulo, São Paulo, Brasil CloudWalk Tempo inteiro R$120.000 - R$180.000 por ano
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.
  • Panel interview.
  • Final 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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