Binance

Runs a global cryptocurrency trading exchange

Recommendation Engine Backend Engineer - Golang

Backend EngineeringUpdated on Nov 11

Full-timeNo salary listed

About the Job

Requirements

A Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
Five to ten years of backend development experience, with Golang as the core technology stack and recent hands-on production experience.
A solid foundation in distributed systems, microservice architecture, relational and NoSQL databases, message queues such as Kafka, and caching layers.
The ability to independently design system architecture, service decomposition, and data flows for complex, high-scale backend systems.
A deep understanding of recommendation systems or hands-on experience with recommendation algorithms, ranking, or personalization pipelines.
Strong communication skills and the ability to collaborate effectively with data, algorithm, product, and business teams in a fast-paced, product-driven environment.

Responsibilities

Build and maintain Golang services for the recommendation pipeline, covering data ingestion, ranking, and personalized content delivery.
Own engineering architecture for the recommendation backend by designing scalable, reliable system structures 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.

Desired Qualifications

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

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)

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.

About the Company

Binance

Runs a global cryptocurrency trading exchange

Binance runs a cryptocurrency exchange for individual traders and institutions, with markets for buying digital assets outright and trading contracts tied to their prices. Its platform combines spot trading with margin, futures, and options tools, letting users manage several trading strategies through a single account. Customers also buy crypto using supported payment methods, track market prices, and manage portfolios through its website and mobile app. Binance earns trading fees, with rates based on trading volume, account tier, and the type of transaction, and runs research and education services for people learning about digital assets. The business launched in July 2017.

Company size: 5,001-10,000
Company stage: Growth Equity (Venture Capital)
Total funding: $2B
Headquarters: Decentralised
Founded: 2017

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