Opportunities in Taipei, Singapore

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.

Design, build, and maintain scalable data pipelines and platform infrastructure to support data ingestion, processing, and distribution Develop backend services integrated with AI Agent systems, including building and maintaining Agent workflows, monitoring pipelines, and observability tools Build monitoring and alerting capabilities to ensure data quality, pipeline stability, and AI system health Collaborate with AI, product, and cross-functional teams (frontend, DevOps, QA) to align data infrastructure with AI Agent and platform requirements Support and maintain existing services (including B9), ensuring stability during and beyond team personnel transitions

3–6 years of backend development experience, with Golang as the core tech stack and recent hands-on production experience Proven experience building data pipelines, data platforms, or large-scale data processing backend systems Experience with AI monitoring, observability tools, or Agent engineering; ability to integrate AI/LLM workflows into production backend systems Solid foundation in distributed systems, microservice architecture, relational/NoSQL databases, and message queues (e.g., Kafka) Familiarity with AI Agent frameworks, LLM integration, or related AI toolchain development is a plus Strong communication skills; able to thrive in a fast-paced, product-driven environment Bachelor's degree or above in Computer Science, Engineering, or a related field