Real-Time Fraud Platform Engineer

GoMining; Georgia; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Professional growth: courses and 100%英

Remote or hybrid format with flexible,

Job summary

GoMining is hiring 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 users and the business.

The role focuses on building fraud prevention systems rather than manual fraud operations, with responsibilities spanning payments, wallets, authentication, and user activity detection.

Qualifications

• 4+ years of software engineering experience.

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.
• 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

Payment flows

Real-time decision engines

English

Tools

Kafka

ClickHouse

Redis

Elasticsearch

Job description

GoMining is hiring 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 users and the business.

The role focuses on building fraud prevention systems rather than manual fraud operations, with responsibilities spanning payments, wallets, authentication, and user activity detection.