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GoMining via Workable

Software Fraud Engineer

Level not stated CyprusGeorgiaLatviaSerbiaPolandSpain
still open verified 1d ago posted 42d ago checked 1h ago
Apply at apply.workable.com

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 42d ago

The date the source published, not the day we noticed it (2026-08-04). Last seen at its source 1h ago.

Is it remote?

Marked remote on the employer's board

Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.

Who may apply?

Cyprus, Georgia, Latvia, Serbia, Poland, Spain

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $188.1k–248.6k/yr

Middle 50% of 14 listings that do state pay — Engineering · all levels · Georgia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

ClickHouseData AnalysisElasticsearchJavaKafkaKotlinMachine LearningPythonRedisSQL

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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 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).
Apply at apply.workable.com