Software Fraud Engineer

Job not on LinkedIn

🔥 11 minutes ago

🌐 Cyprus, Georgia, +4 more countries – Remote

🇨🇾 Cyprus – Remote 🇬🇪 Georgia – Remote 🇱🇻 Latvia – Remote 🇷🇸 Serbia – Remote 🇵🇱 Poland – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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GoMining

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

📣 Marketing

₿ Crypto

Consulting • Marketing • Crypto

GoMining is a digital mining platform that enables users to earn daily Bitcoin rewards through unique digital miners generated at the time of purchase. Users can manage their miners directly from their mobile phones, benefiting from verified data centers while having full control over their mining operations and rewards. The GoMining ecosystem also features a marketplace for trading miners and offers educational resources to help users maximize their earnings in the cryptocurrency space.

📋 Description

• 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. • 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.

🎯 Requirements

• 4+ years of software engineering experience. • Experience building fraud prevention, risk, payment, banking, fintech, or security systems. • Strong backend development experience (Go, Java, Kotlin, Python, or similar). • Experience working 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. • Strong analytical and problem-solving skills. • Fluent English. • Nice to have: Experience in crypto, Web3, or blockchain. • Nice to have: Experience with Kafka, ClickHouse, Redis, Elasticsearch, or similar technologies. • Nice to have: Experience with machine learning models for fraud detection. • Nice to have: Knowledge of AML, KYC, or payment risk systems. • Nice to have: Experience with device fingerprinting, behavioral analytics, or identity verification.

🏖️ Benefits

• Professional growth: support for courses, conferences, and English learning (up to 100% coverage). • Work-life fit: remote or hybrid format with flexible hours across international teams. • Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year • Recognition programs: structured performance reviews and team awards. • Team culture: retreats in international locations (for example, company apartments in Cyprus).