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Software Engineer - Recommendation

Job in City Of London, Central London, Greater London, England, UK
Listing for: JD.com
Full Time position
Listed on 2026-06-10
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, Java Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

Who We Are At , also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity,  operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.

Our Global  is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world.

Learn more about who we are and what we do:  We Offer Joining  means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.

About The Team You’ll be joining the  team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.

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 and Chinese.

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  is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

At , we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.

Ready to apply?

Take the next step in your career, apply now and explore the opportunities we have to offer.
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