Responsibilities:

📍Design, develop, and optimize backend services for real-time fraud detection, transaction monitoring, and risk analysis. 📍Build and maintain scalable microservices to support risk assessment models and rule-based detection systems. 📍Integrate machine learning models and risk scoring engines into backend systems. 📍Implement real-time anomaly detection and alerting mechanisms for suspicious activities. 📍Work with large-scale data pipelines, process logs, and analyze behavioral patterns. 📍Ensure high system availability, reliability, and scalability in handling risk assessments at scale. 📍Collaborate with cross-functional teams to define security policies and risk mitigation strategies. 📍Continuously optimize system performance, latency, and cost-efficiency.

Requirements:

📍3+ years of backend development experience, preferably in fintech, crypto, or high-traffic environments. 📍Proficiency in Java (Spring Boot), basic frameworks, such as multithreading and networking. 📍Strong understanding of distributed systems, and Spring microservices, Dubbo. 📍Experience with SQL & NoSQL databases (MySQL, Redis, Hive, Starrocks). 📍Experience in Graph database(Nebula, Neptune). 📍Familiarity with message queues & streaming (Kafka, RabbitMQ). 📍Strong problem-solving skills with an ability to handle high-concurrency and low-latency applications. 📍Experience working with cloud platforms (AWS, GCP, or Alicloud). 📍Knowledge of big data and machine learning is preferred. 📍Experience in risk management, anti-fraud systems, or transaction monitoring is a plus. 📍Strong analytical thinking, excellent teamwork skills, and a keen ability to learn and adapt quickly.

The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles — don’t miss your chance to be part of it.