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java go kotlin event-driven architectures real-time decisioning📋 Description
- Drive the technical direction and architecture of fraud systems.
- Lead high-throughput, low-latency, decision-critical systems.
- Collaborate with Product, Data Science, Risk Ops, Compliance, and Platform teams.
- Own the technical vision for anti-fraud platform and services.
- Ensure performance, reliability, security, and regulatory compliance.
- Mentor engineers and lead cross-functional technical initiatives.
🎯 Requirements
- 8+ years of professional software engineering with fintech/payments.
- Experience designing or leading Anti-Fraud Systems (AFS): rule engines and risk scoring.
- Backend skills in Java, Kotlin, Go; high-volume, low-latency distributed systems.
- Deep understanding of event-driven architectures, APIs, and real-time decisioning data stores.
- Hands-on fraud prevention in payments, digital commerce or gaming; chargebacks and 3DS familiarity.
- Ability to mentor engineers and lead technical initiatives.
🎁 Benefits
- Experience with data science or ML-driven fraud models.
- Knowledge of AML, KYC, or regulatory frameworks.
- Global payment platforms or PSPs experience.
- Operating systems at global scale across regions, currencies, and regulations.
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