Summary
A major international e-commerce technology organization is seeking a Software Engineer to improve customer recommendation experiences. You will contribute to scalable recommendation capabilities that support product discovery and engagement across a high-volume online retail platform.
Highlights
Build recommendation experiences for a rapidly expanding online retail platform with direct impact on customer discovery and engagement.
Description
JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core.
Renowned for its supply chain innovation and excellence, the company has expanded into retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions.
Know more about us: https://corporate.jd.com/
We have an exciting opportunity for a Software Engineer - Recommendation to join our growing technical team at Joybuy (https://www.joybuy.com/).
Joybuy is JD.com’s European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience.
Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers.
Your work has an impact on the recommendation experience for our customers.
This will involve working alongside our machine learning engineers, design leads, product leads, and business leads, helping with everything from the development of tools and platforms to code optimisations and the deployment of the model.
This role will have a direct impact on business revenue.
The ideal candidate will have solid technical experience with deploying recommender systems and strong business acumen.
Key Responsibilities:
Design and develop backend services supporting recommendation and discovery scenarios.Integrate machine learning models for personalised ranking and recommendation using microservice architectures.Build and maintain backend applications using Java and Spring Boot.Collaborate with machine learning engineers to support model deployment, serving, and optimisation.Ensure system scalability, reliability, and low-latency performance under high traffic.Document system design decisions and share backend best practices within the team.Work onsite in London, UK.
Minimum Qualifications:
Bachelor's degree (or equivalent) in Computer Science or a related field.3+ years of experience in Java programming and Spring Boot.Experience related to search or recommendation systems, such as ranking, retrieval, or advertising.Experience with microservices architecture and service deployment.Ability to communicate effectively in English.
Preferred Qualifications:
Experience supporting ML-enabled search systems in production environments.Experience working on high-concurrency or low-latency services.Experience in large internet or consumer-facing technology companies.Familiarity with distributed systems design.Ability to communicate effectively in Chinese.
JR101308
