Responsibilities

Develop and maintain server-side services and core modules with solid code quality and clean architecture.

Design, implement, and maintain APIs for product features; ensure secure design (least privilege), reliability, and good performance.

Participate in requirement analysis and technical solution design; collaborate with cross-functional teams to deliver features end-to-end.

Integrate third-party SDKs/services; troubleshoot and resolve production issues.

Research new technologies, write clear technical documentation, and share knowledge within the team.

Requirements

Diploma/Bachelor’s degree or equivalent in Computer Science, IT, Software Engineering, Game Development, or related fields.

Backend development fundamentals (meet any one track):

Go (Golang), or

PHP (any framework such as Laravel/Swoole/Phalcon), or

Java.

Solid understanding of backend basics: OOP, common data structures, basic networking concepts, and practical debugging skills.

Familiarity with databases and data stores (e.g., MySQL; Redis as a plus) and basic Linux/CLI usage.

Strong learning agility, ownership, and teamwork; able to communicate clearly and drive tasks to completion.

Proficiency in written and spoken Mandarin is required for this position. Justification: The incumbent is required to facilitate seamless communication and technical collaboration with our HQ and regional R&D/support teams in China. Responsibilities include participating in meetings conducted in Mandarin, interpreting technical specifications, and managing project documentation in Chinese.

Preferred (within Requirements)

Experience with one or more backend frameworks and good engineering practices (code review, modular design, reusable services).

Interest or exposure to distributed systems and cloud-native tooling (e.g. Docker/Kubernetes), caching and messaging systems.

Full-stack advantage: able to collaborate smoothly on client-server integration and handle basic deployment/ops tasks.

AI-driven development advantage: effectively use AI tools to improve productivity while keeping outputs verifiable and maintainable (design, code generation, refactoring, testing, debugging, documentation, and code review).