Description:

Develop 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.
Participate in AI-assisted development initiatives, including automated code generation and intelligent alerting.

Requirements:

Proficiency in Java (Spring Boot) and basic frameworks like multithreading and networking.
Understanding of distributed systems, Spring microservices, and dubbo.
Experience with SQL & NoSQL databases (MySQL, Redis, Hive, Starrocks).
Familiarity with message queues & streaming (Kafka, RabbitMQ).
Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot).
Basic understanding of LLM/Agent systems and interest in AI-powered risk automation features.
Familiarity with prompt engineering concepts.
Strong analytical thinking, teamwork skills, and adaptability.

Shape the future with the world’s leading blockchain ecosystem.
Collaborate with world-class talent in a user-centric global organization.
Tackle unique, fast-paced projects with autonomy in an innovative environment.
Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
Competitive salary and company benefits.
Work-from-home arrangement (may vary depending on team needs).

Experience level

Skills