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.
Join our AI/Infra team and drive exciting AI-powered, data-driven innovation at Binance.
We are looking for an experienced DevOps Engineer with AI expertise to design, build, and maintain infrastructure powering Binance's AI/ML workloads — training pipelines, GPU cluster management, and large-scale model serving.
Come and help shape Binance’s AI and analytics capabilities with impactful and forward-thinking solutions!
This role is 100% Remote, Work from Home based.
Responsibilities
Own CI/CD pipelines, build systems, and deployment workflows for AI-powered frontend apps and internal dev portals
Manage CDN configuration, edge caching, asset optimization, frontend performance monitoring
Implement preview environments, feature-flag rollouts, and progressive delivery (canary/blue-green) for frontend releases
Requirements
2+ years of hands-on experience in Kafka OR Redis operations in large-scale production environments, familiar with the use of AI in DevOps
Proven experience with frontend CI/CD (React/Vue/Next.js), CDN architecture, edge computing, bundling tools (Webpack/Vite/Turborepo), and frontend observability (Core Web Vitals, RUM, synthetic monitoring)
Proficient with at least 1 public Cloud, AwS OR AliCloud OR Tencent Cloud
Leverage LLMs or AI frameworks (OpenAI, Dify, Agno, LangChain) to enhance automation in DevOps infrastructure operations, including intelligent alert triage, RCA (Root Cause Analysis), and chat-based operations (ChatOps)
Practical experience building or operating AIOps systems (Anomaly detection, Alert correlation, Automated healing, or RCA)
Familiarity with LLM-based DevOps automation (e.g., building chat-based ops assistants or AI-driven observability workflows)
Hands-on experience with containerization and orchestration - Kubernetes
Proficient in both English and Chinese communication for efficient cross team collaboration
