
Fintech Innovator
2 semanas atrás
As a highly skilled software engineer, you will be part of a dynamic fintech team on a mission to rebuild Brazil's payment infrastructure. Our company is obsessed with turning advanced technology into elegant and fast financial experiences that benefit Brazilian merchants.
The key challenges you will face are:
- 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.
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.
Key Responsibilities- Architect and 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 and amplify: share knowledge freely, unblock peers, and raise the collective bar.
- 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.
- Experience with MLOps tools and platforms (e.g. MLflow).
- Experience with real-time data processing frameworks (e.g. Kafka).
- Great SQL skills.
- 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.
We are committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds to apply.
Notes- Seniority level: Not Applicable.
- Employment type: Full-time.
- Job function: Finance and Sales.
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