Backend Engineer, Digital Bank (Campus Recruitment 2027)
Summary
Build and optimize backend services for a digital bank, focusing on scalable, secure systems and integrating AI tools to enhance development workflows and banking features.
Job Description:
Responsibilities
- Participate in the design, development, and continuous optimization of digital banking backend services and technical platforms, delivering high-quality, maintainable code.
- Contribute to server-side architecture design to build high-performance, highly available, secure, and scalable distributed systems.
- Deeply understand business requirements, collaborating with Product Managers and cross-functional teams to translate business needs into technical designs and scalable features.
- Continuously optimize system performance, stability, resource utilization, and user experience for high-concurrency banking scenarios.
- Design and develop internal developer tools, automation scripts, and workflows to boost R&D efficiency and engineering quality.
- Explore emerging AI technologies (e.g., LLMs, AI Agents, AIGC) and evaluate their applications in banking business scenarios and intelligent R&D practices.
- Leverage AI-assisted coding methodologies (e.g., Vibe Coding / AI copilots) to streamline code generation, testing, and delivery processes.
Requirements:
- Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related technical disciplines
- Solid foundation in Computer Science core principles, including Data Structures, Algorithms, Computer Networks, and Operating Systems.
- Proficiency in at least one mainstream backend language (Golang, Java, Python, or C/C++).
- Familiarity with web frameworks, RPC, and protocols (e.g., Gin, gRPC, Spring Boot, Django, Flask, Protocol Buffers).
- Hands-on experience or working knowledge of databases (e.g., MySQL) and middleware (e.g., Redis, Kafka, microservices/K8s).
- Basic understanding of software design patterns, distributed systems, high concurrency architectures, caching mechanisms, and performance tuning.
- Strong interest in AI, with eagerness to learn and experiment with front-tier technologies like LLMs, Agent/Skill frameworks, and Prompt Engineering.
- Excellent logical thinking, analytical skills, rapid learning capability, and clear communication skills.