Job Description

• Handle demand analysis, system design, and module-level design of back-end business functions, ensuring scalable and modular architectures.
• Design, develop, and maintain efficient, high-performance back-end services and APIs, emphasizing clean, maintainable code and following best practices.
• Drive continuous optimization of a cloud-native back-end technology stack, leveraging modern frameworks and tools to ensure scalability, reliability, and fault tolerance.
• Collaborate closely with the product, front-end, and DevOps teams to deliver seamless end-to-end features and functionality.
• Diagnose, troubleshoot, and resolve critical issues and performance bottlenecks at scale, ensuring minimal downtime and optimal system throughput.
• Investigate and implement performance tuning strategies for databases, distributed caches, and messaging systems.
• Apply secure system design principles and experience with complex transaction flows to build robust, high-integrity backend services.
• Explore and integrate AI Agent technologies into the back-end to enhance automation, decision-making, and intelligent workflow management.
• Stay up to date with advancements in AI technologies, scalable system architectures, and emerging tools, applying them to enhance product performance and system capabilities.

Job Requirements

• Bachelor's degree or above from a public university, or more than 5 years of back-end development experience from a recognized overseas institution (with academic degree certification by the Ministry of Education's Overseas Study Service Center).
• Experience with modern architectural patterns and frameworks, particularly ABP and Orleans, to build distributed, scalable, and fault-tolerant systems.
• Keen interest in AI technologies, intelligent systems, and familiarity with relevant machine learning frameworks or automation tools.
• Understanding or experience with AI Agent frameworks and machine learning concepts, with a focus on integrating AI-driven functionalities into backend services.
• Excellent communication and comprehension skills, comfortable collaborating with interdisciplinary teams in a fast-paced, results-oriented environment.

Preferred Qualifications

• Proven track record of contributing to high-performance, production-grade distributed systems and AI-integrated backend solutions.