1mo ago

Recommendation Engine Backend Engineer (Golang) (APAC Remote)

Hong Kongsenior

EngineeringBackend Developer

6 views0 saves0 applied

Apply Now

Quick Summary

Overview

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users.

Technical Tools

EngineeringBackend Developer

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

Responsibilities

~1 min read

→Build and maintain Golang services for the recommendation pipeline, covering data ingestion, ranking, and personalized content delivery.
Take ownership of engineering architecture for the recommendation backend — design scalable, reliable system structure and data flows that support multi-level recommendation strategies.
Build observability for recommendation strategy effectiveness — covering strategy performance, data quality, and serving health.
Collaborate closely with data, algorithm, product, and business teams to translate business requirements into engineering solutions and deliver recommendation engineering.
Own services through development, deployment, maintenance, and troubleshooting — including monitoring system health, latency, and cost, and driving performance and reliability improvements.

Requirements

~1 min read

Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
5~10 years of backend development experience, with Golang as the core tech stack and recent hands-on production experience.
Solid foundation in distributed systems, microservice architecture, relational/NoSQL databases, message queues (e.g., Kafka), and caching layers.
Strong engineering architecture capability: able to independently design system architecture, service decomposition, and data flows for complex, high-scale backend systems.
Deep understanding of recommendation systems, or hands-on experience with recommendation algorithms, ranking, or personalization pipelines.
Strong communication skills; able to collaborate effectively with data, algorithm, product, and business teams in a fast-paced, product-driven environment.

Nice to Have

~1 min read

Proven experience in data construction: data pipelines, feature stores, or large-scale data processing systems.
Solid data analysis skills; able to analyze recommendation performance and diagnose data-quality issues.
Familiarity with LLM integration, AI Agent frameworks, or AI-driven content generation workflows.

Shape the future of finance
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.