We're looking for a Software Fraud Engineer to design and build our next-generation fraud prevention platform. You'll develop real-time fraud detection systems, risk engines, and automated decision-making services that protect both our users and business. This is an engineering role focused on building fraud prevention systems — not a manual fraud operations position.

Responsibilities Fraud Detection 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 Risk Engine 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 Data & Analytics 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 Engineering 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

Experience with Kafka, ClickHouse, Redis, Elasticsearch, or similar technologies

Experience with machine learning models for fraud detection

Knowledge of AML, KYC, or payment risk systems

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 adaptable 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)

📌 Software Fraud Engineer (España)
🏢 Gomining
📍 España