Software Engineer, E-commerce Risk and Compliance

Joybuy Retail — United Kingdom · Posted ~23 hours ago

Senior

Skills

Software architecture Backend development High-concurrency systems Low-latency systems High-availability systems Scalable systems System stability Cost optimization Technical problem solving

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Summary ✨ AI‑Generated

A software engineering role focused on architecting and implementing large-scale e-commerce risk and compliance systems. You will optimize high-concurrency, low-latency and highly available services, improve system stability and costs, and help solve complex business and technical challenges.

Highlights

Lead architecture for high-performance systems, solve complex technical challenges, drive stability and cost improvements, and contribute to technology innovation in a large-scale e-commerce environment.

Description

Responsibilities: Lead the technical architecture design and implementation of the international e-commerce risk control and compliance system, ensuring high performance, high concurrency, low latency, high availability, and strong scalability.Drive system stability initiatives and cost optimization, with continuous improvement and iterative enhancement of existing systems.Develop a deep understanding of business scenarios, contribute to technical solution design, and resolve complex technical challenges.Collaborate closely with the team to elevate overall technical capabilities through knowledge sharing and technical exchange, jointly driving business growth.Track technological developments and emerging trends in the software industry, explore practical applications of new technologies, and provide technical support for business innovation. Qualifications: Bachelor's degree or above via nationally accredited full-time enrollment, preferably in Computer Science or a related field; experience in building risk control and compliance systems is a plus.Proficient in Java; well-versed in mainstream frameworks such as Spring and MyBatis, with strong cross-technology adaptability. Deep understanding of distributed architecture (SOA/microservices), message queues (Kafka/RabbitMQ), and caching systems (Redis/Memcached).Familiar with mainstream AI Agent development frameworks and genuinely curious about large AI model applications. Candidates with hands-on experience in LLMs, prompt engineering, memory management, RAG, knowledge graphs, and SFT are strongly preferred.Possesses a strong sense of professionalism and ownership, a proactive work ethic, independent analytical and problem-solving skills, high self-motivation, resilience under pressure, and a collaborative team spirit.Aligned with JD.com's core values: Customer First, Innovation, Relentless Effort, Accountability, Gratitude, and Integrity.