Staff Engineer – Anti-Fraud

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Guide the architecture of real-time fraud decision-making services that evaluate transactions, logins, and account modifications within sub-second SLAs.

• Take ownership of the fraud rules engine, which includes rule version management, shadow/canary rollouts, and tools for analyst testing.

• Collaborate with Data Science to implement fraud-detection models through low-latency feature pipelines and serving infrastructure.

• Design Kafka event-driven pipelines for transaction, device, and behavioral signals, ensuring ordering, idempotency, and exactly-once guarantees where necessary.

• Create audit trails and layers of explainability for fraud decisions to assist regulators, card networks, and dispute resolution teams.

• Mentor engineers while promoting best practices in coding, system design, and incident response.

• Address high-scope, complex, and ambiguous technical challenges involving financial risk.

• Advocate for AI-assisted engineering methodologies utilizing code generation, automated refactoring, and technical documentation tools.

⛳️ Requirements

• Educational background focused on computer science, engineering, or software development fields.

• Proven success in hands-on backend engineering positions, with experience in Java, Spring Boot, PostgreSQL, Kafka, and AWS.

• Experience in designing or managing real-time decision-making, scoring, or rules-engine systems with stringent latency requirements.

• Practical experience with fraud, risk, or trust & safety systems, such as transaction scoring, device fingerprinting, velocity/anomaly detection, or chargeback and dispute pipelines.

• Strong understanding of event-driven architectures and streaming data (Kafka), including ordering, idempotency, and exactly-once semantics.

• Familiarity with relational database systems, Object-Oriented Programming, and Domain-Driven Design; knowledge of microservice architecture is advantageous.

• Capability to translate compliance and audit requirements (e.g., BACEN, LGPD, PCI-DSS) into robust and explainable system designs.

• Experience in conducting code reviews, facilitating knowledge sharing, and encouraging collaborative development practices.

• Demonstrated ability to design complex distributed applications optimized for high performance, throughput, scalability, and reliability.

• Hands-on experience implementing AI frameworks in development initiatives.

• Experience with Python is a bonus.

• Strategic thinker with problem-solving skills, proactively addressing technical and process gaps before they become issues.

• High level of autonomy and accountability, capable of making technical decisions with minimal oversight, even under financial and regulatory pressures.

• Proven ability to mentor and nurture the development of junior and mid-level engineers.

• Strong communication skills to articulate fraud-engineering trade-offs to both technical colleagues and Risk/Compliance stakeholders.

• Comfortable working in ambiguous situations.

• Demonstrated ability to influence and enhance engineering practices and elevate the technical standards across the team.

• Alignment with company values: ownership, excellence, adaptability, and innovation.

🏝️ Benefits

• Competitive salary aligned with market standards.

• Remote work opportunities – be part of the team from anywhere!

• Home office allowance provided through a monthly deposit in the RecargaPay app.

• Comprehensive health and dental insurance with no co-pay.

• Life insurance coverage.

• Flexible meal allowance through Flash.

• TotalPass membership to support your health and wellness.