Role summary 

Location: Guang Zhou 

On-site  | Full-time 

As a full stack development engineer with more that 5 years of experience. You will serve as a core technical member of the development team, participating in the design, development, deployment, and full lifecycle maintenance of the company's cross-border payment system. You need to have a high pursuit of code quality, system stability, and security to ensure that you can provide secure, stable, and efficient services to users worldwide. 

What you’ll do 

• System design and development: Participate in the core architecture design and technical solution development of cross-border payment platforms, responsible for the development and iteration of core modules such as transactions, clearing and settlement, risk control, and account systems, and write high-quality and maintainable code. 

• Performance optimization and stability assurance: Monitor and optimize system performance, handle online failures, and ensure high availability of the system in high concurrency, multi time zone environments (target 7x24 hour stable operation). Build a full chain stress testing, monitoring, and log analysis system to quickly locate and resolve performance bottlenecks and anomalies. 

• Security and Compliance: Build a payment system that complies with international security standards and Chinese regulatory requirement, design and implement a fund security protection system, including transaction monitoring, API communication encryption, anti-attack strategies, etc., to ensure the security of user data and funds. 

• Deployment and Operations Collaboration: Proficient in using containerization technologies such as Docker and Kubernetes, collaborating with operations teams to achieve automated deployment, publishing, and governance of services.  

• Teamwork and documentation: Work closely with product, front-end, testing, and operation teams to complete requirement reviews and implement technical solutions. Write clear technical design documents, API documents, and system architecture documents. 

Who you are 

• 5+ years working experience in a high-tech or fin-tech company or has experience in core modules of cross-border payments or third-part payments. 

• Java Core: Proficient in Java language and JVM principles, with a deep understanding of multithreading, concurrent programming, collection frameworks, and performance tuning. 

• Mainstream frameworks: Proficient in Spring Boot, Spring Cloud and other mainstream open source frameworks, and understand their core principles. 

• Database and Middleware: Proficient in MySQL and SQL optimization, familiar with at least one NoSQL database (such as Redis) and its application scenarios. Proficient in using commonly used message middleware such as RocketMQ/Kafka. 

• Solid understanding of HTML5, CSS3, and JavaScript (ES6+). Familiarity with TypeScript is a plus. 

• Hands-on experience with React and modern state management. Familiarity with Next.js and Ant Design is preferred. 

• Basic knowledge of modern frontend build workflows (e libraries, bundlers) and version control (Git). 

• Distributed technology: Familiar with the concept of distributed systems, microservice architecture design and governance, familiar with common solutions such as distributed transactions, caching, locks, etc. 

• Excellent logical thinking, problem analysis and positioning skills, and technical problem-solving abilities. 

• Good teamwork spirit and cross-cultural communication skills, able to adapt to multi time zone collaboration. 

• Strong sense of responsibility and risk awareness, highly sensitive to financial security vulnerabilities. 

As a plus 

• Daily user of AI coding tools such as Cursor, GitHub Copilot, Claude Code etc; able to configure and govern usage effectively. 

• Proven ability to translate product requirements into high‑quality prompts and validate AI‑generated code with tests and static analysis. 

• Understands limitations, privacy, licensing, and security considerations for AI‑assisted code; adheres to org policy and data‑handling rules. 

• Experience building lightweight internal “AI agents” or scripts to automate repetitive engineering tasks (e.g., refactors, doc updates, test generation).