> Markdown version of [/jobs/ext/2515251-software-fraud-engineer](https://www.wearedevelopers.com/jobs/ext/2515251-software-fraud-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Fraud Engineer

- **Company:** GoMining
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), User Authentication, Big Data, Database Queries, Distributed Systems, Elasticsearch, Payment Systems, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Redis, Blockchain, Rule Engine, Software Engineering, Transaction Data, Backend, Kotlin, Event Driven Architecture, Data Analytics, Apache Kafka, Web3.js, Vertica, Golang
- **Published:** August 4, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=ab9a18f1f74c05de

## About the Role

* 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.

## Description

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.