Binance

Senior Backend Engineer - Instant Messaging System

Binance • SG
Java 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 over 280 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.

Responsibilities

  • Lead the design and development of new instant messaging features, ensuring the system can handle high concurrency with strong performance, scalability, and reliability.
  • Build and maintain microservices based on Spring Cloud, including service discovery, configuration management, load balancing, and traffic governance.
  • Work with large-scale data pipelines to analyze and process message data, supporting product decisions and improving system efficiency.
  • Design and optimize storage and retrieval architectures for massive datasets, ensuring stable and efficient data operations.
  • Drive performance tuning, handle production incidents, and lead major refactoring efforts to improve overall system stability and throughput.
  • Requirements

  • Hands-on experience building or maintaining instant messaging platforms such as WeChat, QQ, Telegram, WhatsApp, Slack, or similar real-time communication systems.
  • Strong proficiency in Java and Spring Boot, with familiarity in distributed systems.
  • Strong knowledge of Linux, microservices, distributed systems, Redis sharding, database sharding, Kafka, and MQ.
  • Proven ability to independently design and deliver a high-performance, high-throughput, and highly available backend system that has been successfully deployed in production.
  • Deep understanding of database storage engines, indexing, partitioning/sharding strategies, and real-world performance tuning practices.