Java Backend Engineer (Spring boot, Cloud, AI/Big Data) - Treasury Management Systems

Responsibilities

• Design and develop microservices architecture based on Spring Boot, ensuring high availability and scalability of the system.
• Implement and manage microservices components such as service discovery, configuration management, and load balancing with Spring Cloud.
• Analyze, process, and explore data using big data technologies.
• Optimize and manage data storage and retrieval systems like ES/HBase/Starrocks, ensuring efficient data handling.
• Work closely with business stakeholders to understand requirements and deliver data solutions that align with business goals.
• Monitor, troubleshoot, and improve backend services to ensure smooth operation.
• Participate in the full development lifecycle, including requirements gathering, system design, coding, testing, and deployment.
• Maintain and enhance existing backend services, ensuring code quality and performance.
• Collaborate with cross-functional teams to integrate data solutions into existing applications.

Requirements:

- 7+ years of Java development experience, 5+ years of Spring Boot development experience.

- Experience in developing and integrating AI agents and skills, including building intelligent conversational agents and task automation components within Java-based microservices.

- Proficient in applying Model Context Protocol (MCP) to manage AI model interactions and context-aware data exchange in distributed systems.

- Strong understanding of AI concepts such as natural language processing (NLP), computer vision, and data-driven decision making, with the ability to leverage these in agent and skill development to optimize business processes and enhance system intelligence.

- Familiar with Spring Cloud, Hibernate, JPA, and other related technologies.

- Proficient in designing and implementing microservices architecture with experience in distributed systems development.

- Familiar with database technologies such as MySQL, PostgreSQL, MongoDB, and Redis.

- Familiar with CI/CD tools and processes, such as Jenkins and GitLab CI.

- Strong problem-solving and analytical skills, able to complete tasks independently.

- Excellent teamwork and communication skills.

- Experience with cloud services like AWS and Azure is preferred.

- Familiar with and proficient in using components such as Apollo Configuration Center, Kafka Message Middleware, Xxl Job Scheduler, Pinpoint Link Tracking, and Prometheus Monitoring.

- Familiar with TMS (Treasury Management System), especially with experience in financial and global payment-related functionalities.