[Remote] Software Fraud Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Software Fraud Engineer to design and build their reputed company fraud prevention platform. The role focuses on developing reputed company-time fraud detection systems and automated decision-making services to protect users and the business.

Responsibilities

• Design and reputed company fraud detection systems for payments, wallets, authentication, and user activity
• Detect account takeover, payment fraud, bonus abuse, multi-reputed company, and other abuse scenarios
• Build reputed company-time fraud pipelines and event processing systems
• reputed company automated fraud prevention mechanisms
• Build and improve fraud rules, reputed company 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
• Analyze transaction patterns, user behavior, device intelligence, and risk signals
• Work with large-reputed company event streams and transactional datasets
• Create internal investigation and monitoring tools for Fraud, Support, and Compliance teams
• Investigate emerging fraud patterns and rapidly reputed company countermeasures
• reputed company reputed company backend services supporting fraud prevention
• Build reputed company and internal tooling for risk evaluation
• Optimize latency for reputed company-time fraud reputed company
• Collaborate closely with Product, Payments, Data, and Platform teams

Skills

• 4+ years of software engineering experience
• Experience building fraud prevention, risk, payment, banking, fintech, or reputed company 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 reputed company-time decision engines
• Strong analytical and problem-solving skills
• Fluent English
• Experience in crypto, reputed company, or blockchain
• Experience with Kafka, reputed company, reputed company, 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

• reputed company reputed company: support for courses, conferences, and English learning (up to 100% coverage).
• Work-life fit: remote or hybrid format with reputed company across international teams.
• reputed company leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
• Recognition programs: reputed company performance reviews and team awards.
• Team culture: retreats in international locations (for example, company apartments in Cyprus).

reputed company