Staff Engineer – Real-Time Fraud Prevention

DigitalXNode; United States; On-site; CAD 130,000 - 170,000; Full time

Job summary

DigitalXNode is seeking a Staff Engineer – Fraud Prevention to lead platform architecture for large-scale fraud systems. You will drive real-time data processing and ultra-low-latency backend services across multi-cloud environments.

You will mentor engineers, set reliability standards, and translate business needs into scalable architectures that handle high-volume transactions with strict latency requirements.

Qualifications

• Experience designing large-scale real-time platforms.
• Proven track record with high-throughput data processing.
• Strong background in distributed systems architecture.
• FinTech/fraud prevention or payments knowledge is a plus.

Responsibilities

• Define platform architecture and long-term technical strategy.
• Architect highly available, ultra-low-latency backend services.
• Design high-throughput fraud detection and rules engines.
• Build scalable distributed systems for real-time data volumes.
• Establish reliability, observability, security, and performance standards.
• Mentor engineers and drive cross-team architectural alignment.

Skills

Distributed Systems

Backend Engineering

Ultra-Low-Latency Systems

Apache Kafka

Apache Flink

SQS

Pub/Sub

Real-Time Stream Processing

Databases (Relational, Document, Wide-

Education

Bachelor's or Master's in CS/SE/IT or related

Tools

Apache Kafka

Apache Flink

SQS

Pub/Sub

Job description

DigitalXNode is seeking a Staff Engineer – Fraud Prevention to lead platform architecture for large-scale fraud systems. You will drive real-time data processing and ultra-low-latency backend services across multi-cloud environments.

You will mentor engineers, set reliability standards, and translate business needs into scalable architectures that handle high-volume transactions with strict latency requirements.