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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the team
Binance Square is a social content and discovery platform within the Binance ecosystem, serving millions of users with real-time market insights, creator-driven content, and AI-powered recommendations. The AI & Data Services team builds the backend infrastructure that powers content discovery, personalized feeds, and intelligent data services across the platform.
- Design, develop, and maintain high-performance backend services for the Binance Square product, focusing on content discovery, recommendation pipelines, and AI-powered features
- Build and operate scalable microservices handling millions of daily requests, ensuring reliability, low latency, and graceful degradation under peak load
- Integrate Large Language Models (LLMs) and AI/ML pipelines into production backend systems, including RAG architectures, prompt orchestration, and agentic workflows
- Collaborate closely with Product Managers, Data Scientists, DevOps, and frontend engineers to deliver end-to-end solutions from data ingestion to user-facing features
- Design and optimize data pipelines for content indexing, real-time analytics, and ML feature serving
- Advocate for engineering best practices — conduct code reviews, write comprehensive tests, and drive architectural improvements
- Troubleshoot and resolve production issues, performing root-cause analysis and implementing preventive measures
- Contribute to technical design documents and participate in architecture decision-making
- 3–6 years of back-end software development experience with strong proficiency in Java (primary) or Golang/Python
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Deep understanding of software frameworks, design patterns, and microservices architecture
- Strong experience with relational databases (MySQL/PostgreSQL), message brokers (Kafka/RabbitMQ), and caching systems (Redis)
- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
- Hands-on experience integrating AI/LLM technologies into production systems — RAG, prompt engineering, LLM orchestration, or agentic pipelines is a strong plus
- Experience with high-throughput, low-latency backend systems serving millions of users
- Solid understanding of data structures, algorithms, and system design
- Ability to work independently and communicate effectively in a distributed, cross-timezone team environment
Why Binance
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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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.
