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Backend Engineer (Node.js) - Payments & Risk

$100k
Full-time

Gold Media Tech LLC

  • Remote
  • Full Time
  • Node.js , Redis , SQL , TypeScript

The Mission

Our client provides high-limit credit cards to Private Banking clients who treat $100k transactions as routine. Our client needs a Senior Engineer to build the Risk & Dispute Defense Layer of their platform.

You will build the Node.js microservices that sit between our clients and the Visa network. Your code must make split-second decisions to approve a luxury purchase or block a BIN attack, and automate the heavy lifting of Visa dispute resolution.

Key Responsibilities

  • Event-Driven Architecture: Architect an event-driven system (using Kafka or RabbitMQ) to ingest transaction webhooks.
  • Velocity Logic: Write efficient, non-blocking Node.js logic to detect complex patterns (e.g., "72 charges in 48 hours" or "card testing attacks") using Redis for atomic counting.
  • Latency Management: Ensure all fraud checks complete in under 200ms to avoid timing out the Visa ISO 8583 message flow.
  • Visa API Integration: Build robust integrations with Visa/Processor APIs (VROL) to automate the submission of chargebacks and retrieval requests.
  • Evidence Gathering: Create a service that automatically pulls transaction logs, IP history, and user activity to generate PDF evidence packages for disputes, reducing manual operations.

3. Backend Reliability

  • Idempotency: Implement strict idempotency keys to ensure they never double-charge a client or double-submit a dispute, even if the network fails.
  • Database Design: Optimize SQL schemas (Postgres) to store millions of transaction logs for instant querying during fraud investigations.

Requirements

  • Tech Stack: 5+ years in Backend Engineering, with expert proficiency in Node.js & TypeScript.
  • Industry Experience: 3+ years in FinTech, Card Issuing, or Acquiring. You must know what a “reversal” is and how it differs from a “refund.”
  • Performance: Experience tuning Node.js for high-throughput/low-latency (e.g., event loops, garbage collection tuning).
  • Risk IQ: You can distinguish between a “Friendly Fraud” chargeback and a “Criminal Fraud” attack and know how to code rules for both.
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Vacancy posted 1 day ago
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