Real-Time Fraud Detection Engineer

GoMining; United States; Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Remote/Hybrid

Paid time off

Recognition programs

Team retreats

Job summary

GoMining is seeking a Software Fraud Engineer to design and build a next-generation fraud prevention platform. You will develop real-time fraud detection systems, risk engines, and automated decision-making services that protect both users and the business.

This engineering role focuses on building fraud prevention systems—not a manual fraud operations position. You will collaborate with Product, Payments, Data, and Platform teams to deliver scalable backend services and APIs for risk evaluation.

Qualifications

• 4+ years of software engineering experience.
• Experience building fraud prevention, risk, payment, fintech, or security systems.
• Strong backend development experience with Go, Java, Kotlin, Python, or similar.
• Experience with distributed systems and event-driven architectures.
• Strong SQL skills and experience with large datasets.
• Understanding of payment flows, authentication, and transactional systems.
• Experience designing real-time decision engines.
• Fluent English.

Responsibilities

• Design and develop fraud detection systems for payments, wallets, authentication, and user activity.
• Detect account takeover, payment fraud, bonus abuse, multi-accounting, and other abuse scenarios.
• Build real-time fraud pipelines and event processing systems.
• Develop automated fraud prevention mechanisms.
• Build and improve fraud rules, velocity controls, and dynamic risk scoring.
• Design decision engines for transaction approval, review, or rejection.
• Continuously optimize fraud detection accuracy while minimizing false positives.
• Improve fraud models using behavioral and transactional data.
• Analyze transaction patterns, user behavior, device intelligence, and risk signals.
• Work with large-scale event streams and transactional datasets.
• Create internal investigation and monitoring tools for Fraud, Support, and Compliance teams.
• Investigate emerging fraud patterns and rapidly deploy countermeasures.
• Develop scalable backend services supporting fraud prevention.
• Build APIs and internal tooling for risk evaluation.
• Optimize latency for real-time fraud decisions.
• Collaborate closely with Product, Payments, Data, and Platform teams.

Skills

Go

Java

Kotlin

Python

Distributed systems

SQL

Real-time

Backend development

English

Tools

Kafka

ClickHouse

Redis

Elasticsearch

Job description

GoMining is seeking a Software Fraud Engineer to design and build a next-generation fraud prevention platform. You will develop real-time fraud detection systems, risk engines, and automated decision-making services that protect both users and the business.

This engineering role focuses on building fraud prevention systems—not a manual fraud operations position. You will collaborate with Product, Payments, Data, and Platform teams to deliver scalable backend services and APIs for risk evaluation.