Backend Engineer, Digital Bank
Posted Updated
Summary
Backend engineer on Shopee's Digital Banking team in Singapore, designing, building, and optimizing high-performance distributed backend services for digital financial products (savings, payments, loans, wealth). Core stack includes Golang/Java/Python/C++, MySQL, Redis, Kafka, gRPC, and Kubernetes, with an emphasis on AI-assisted development.
About The Team Shopee will be prioritizing applicants who have a current right to work in Singapore , and do not require Shopee sponsorship of a visa. Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied. We aspire to make banking simple, secure, and accessible for everyone. Our Digital Banking Technology teams build and operate high-performance backend platforms and infrastructure that power seamless digital financial products—including savings, payments, loans, and wealth management—for individuals and enterprises worldwide. We encourage engineering excellence, continuous learning, and the proactive adoption of modern AI techniques to transform complex financial requirements into robust, intelligent software products. Responsibilities Job Description:
- 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.
- 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.