Remote Fraud Prevention Engineer — Real-Time Risk

GoMining; Poland; Hybrid; PLN 180,000 - 270,000; Full time

Benefits offered by this job

Remote or hybrid format

Flexible hours across international-te

Paid leave: 20 vacation days + 8 hols

Personal days: 5 per year

Company retreats in international locs

English learning support (up to 100%)

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 to protect users and business.

The role focuses on engineering fraud prevention systems, not manual fraud operations. It requires 4+ years of backend experience, proficiency in Go/Java/Kotlin/Python, and work with distributed, event-driven architectures.

Qualifications

• 4+ years of software engineering experience.
• Experience building fraud prevention, risk, payment, banking, fintech, or security systems.
• Strong backend development experience in Go, Java, Kotlin, or Python.
• Experience with distributed systems and event-driven architectures.
• Strong SQL skills and working with large datasets.
• Fluent English.

Responsibilities

• Fraud Detection: Design and develop fraud detection systems for payments, wallets, authentication, and user activity.
• Risk Engine: Build and improve fraud rules, velocity controls, and dynamic risk scoring.
• Data & Analytics: Analyze transaction patterns, user behavior, device intelligence, and risk signals.
• Engineering: Develop scalable backend services supporting fraud prevention and build APIs for risk evaluation.
• Collaborate with Product, Payments, Data, and Platform teams and optimize latency for real-time decisions.

Skills

Go

Java

Kotlin

Python

Distributed systems

Event-driven architecture

SQL

Data analysis

English fluency

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 to protect users and business.

The role focuses on engineering fraud prevention systems, not manual fraud operations. It requires 4+ years of backend experience, proficiency in Go/Java/Kotlin/Python, and work with distributed, event-driven architectures.