Recommendation Engine Backend Engineer (Golang) (APAC Remote)

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

• 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

• 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

• 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.

Why Binance

• 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)

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