sqlgokafkamachine learningdistributed systemsevent driven architecturecryptofraud preventionbackend developmentreal time systems
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Четко определенная инженерная роль в хайповом домене с современным стеком и отличными бенефитами. Единственный минус - зарплату придется уточнять на собеседовании.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Fraud Engineer (Fintech): Building real-time fraud detection platforms, risk engines, and automated decision-making services for payments, wallets, authentication, and user activity with an accent on scalable backend systems, event processing, and behavioral risk analysis. Focus on designing transaction decision engines, optimizing low-latency fraud controls, and solving complex abuse detection challenges across crypto and fintech flows.
Location: Worldwide; remote or hybrid with flexible hours
Company
hirify.global develops products and services connected with crypto and blockchain ecosystems.
What you will do
Design and develop fraud detection systems for payments, wallets, authentication, and user activity.
Build real-time fraud pipelines, event-processing systems, scalable backend services, and APIs for risk evaluation.
Develop fraud rules, velocity controls, dynamic risk scoring, and decision engines for transaction approval, review, or rejection.
Analyze behavioral, transactional, device, and identity signals to detect account takeover, payment fraud, bonus abuse, and multi-accounting.
Create investigation and monitoring tools while collaborating with Product, Payments, Data, Platform, Fraud, Support, and Compliance teams.
Requirements
4+ years of software engineering experience.
Strong backend development experience with Go, Java, Kotlin, Python, or similar technologies.
Experience building fraud prevention, risk, payment, banking, fintech, or security systems.
Experience with distributed systems, event-driven architectures, real-time decision engines, large datasets, and strong SQL.
Understanding of payment flows, authentication, transactional systems, and fraud detection machine learning models.
Fluent English required; worldwide availability with remote or hybrid work.
Nice to have
Experience in crypto, Web3, or blockchain.
Experience with Kafka, ClickHouse, Redis, Elasticsearch, or similar technologies.
Knowledge of AML, KYC, or payment risk systems.
Experience with device fingerprinting, behavioral analytics, or identity verification.
Culture & Benefits
Remote or hybrid work with flexible hours across international teams.
Support for courses, conferences, and English learning with up to 100% coverage.
Up to 20 vacation days, 8 company holidays, and 5 personal days per year.
Structured performance reviews and team recognition programs.
International team retreats, including company apartments in Cyprus.
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