Software Engineer (Financial Services)

CloudWalk; São Paulo; Presencial; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

Une entreprise fintech innovante recherche un architecte de services pour concevoir et construire des systèmes financiers évolutifs. Vous aurez l’occasion de travailler sur des pipelines de données, d'intégrer des modèles d'intelligence artificielle, et de garantir la qualité opérationnelle. Ce rôle exige d'excellentes compétences en programmation, une initiative à apprendre et une capacité à communiquer en anglais et en portugais.

Qualificações

• Excellentes compétences en résolution de problèmes et en communication.
• Initiative pour apprendre et expérimenter.
• Expérience en construction et déploiement d'API REST.

Responsabilidades

• Architecturer et construire des services résilients et évolutifs.
• Intégrer des modèles ML et agents LLM pour automatiser la prise de décision.
• Mentorer et partager des connaissances avec les collègues.

Conhecimentos

Python

Problèmes Résolution

Communication

Ferramentas

Docker

Kubernetes

Google Cloud

Descrição da oferta de emprego

We’re an AI‑first fintechon 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.

TheChallenge:

• 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.

WhatYou’llDo:

• 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.