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Software Fraud Engineer

1 month ago
Serbia, Spain, Georgia, Latvia, Poland, Cyprus
Full-time
Mid Level
Backend Engineer
Software Development
Blockchain ClickHouse Elasticsearch Go Java Kafka Kotlin Machine Learning Python Redis SQL
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Gomining

Gomining

Gomining operates the largest global network of mining hotels, providing specialized accommodations for cryptocurrency miners, with its headquarters situated in Hungary.

Construction & Engineering
11-50
Founded 2017
View All Jobs 8

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, event-processing systems, and automated prevention mechanisms.
  • Develop fraud rules, velocity controls, dynamic risk scoring, and transaction decision engines.
  • Optimize detection accuracy and minimize false positives using behavioral and transactional data.
  • Analyze transaction patterns, user behavior, device intelligence, and other risk signals.
  • Create investigation and monitoring tools for Fraud, Support, and Compliance teams.
  • Develop scalable backend services, APIs, and internal tooling for risk evaluation.
  • Optimize latency for real-time fraud decisions and collaborate with Product, Payments, Data, and Platform teams.
  • Investigate emerging fraud patterns and deploy countermeasures.

Requirements

  • 4+ years of software engineering experience.
  • Experience building fraud prevention, risk, payment, banking, fintech, or security systems.
  • Strong backend development experience with Go, Java, Kotlin, Python, or similar languages.
  • Experience with distributed systems and event-driven architectures.
  • Strong SQL skills and experience working 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.
  • Experience with crypto, Web3, or blockchain; Kafka, ClickHouse, Redis, Elasticsearch; machine learning fraud models; AML, KYC, payment risk, device fingerprinting, behavioral analytics, or identity verification is preferred.

Benefits

  • Remote or hybrid work with flexible hours across international teams.
  • Up to 20 vacation days, 8 company holidays, and 5 personal days annually.
  • Up to 100% coverage for courses, conferences, and English learning.
  • Structured performance reviews and team recognition awards.
  • International team retreats, including company accommodations in Cyprus.

Interested in this position?

Apply directly on the company website

Apply Now

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