🛠 Tech Stack

🎯 What You'll Do

• Develop backend services for real-time fraud detection and transaction monitoring.
• Build and maintain scalable microservices for risk assessment models.
• Integrate machine learning models and risk scoring engines into backend systems.
• Participate in AI-assisted development initiatives like automated code generation.

📋 Requirements

• Proficiency in Java with Spring Boot, multithreading, and networking.
• Understanding of distributed systems and microservices (Spring, Dubbo).
• Experience with SQL & NoSQL databases (MySQL, Redis, Hive, Starrocks).
• Familiarity with message queues & streaming (Kafka, RabbitMQ).

✨ Nice to Have

• Experience with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor).
• Basic understanding of LLM/Agent systems and integration into backend services.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min