Bilingual Mandarin Storage Cloud Platform Engineer (Database Intelligence Focus)

Bilingual Mandarin Storage Cloud Platform Engineer (Database Intelligence Focus)

Location: New York, NY, 10011

Salary: $120-$200k/Year

1. Lead Architecture Design & Core Development
   Drive the architecture evolution and core module development of the storage cloud platform at Xiaohongshu. Explore AI-native architectures for intelligent storage solutions and promote the transformation of the platform from tool-based to intelligent systems.
   
2. Build an Intelligent Operations System
   Independently lead the planning and implementation of self-service management platforms for storage and databases. Leverage large language models (LLMs) to build intelligent operations agents, enabling natural language-based interaction and lowering the barrier to database usage.
   
3. Drive Intelligent Operations Transformation
   Rebuild the automated operations platform using LLM Agent technologies to create a self-diagnosing, self-healing, and self-optimizing system. Enable the transition from manual operations to autonomous operations.
   
4. Innovate AI + Database Use Cases
   Lead the implementation of advanced AI use cases in database systems, including intelligent SQL optimization, anomaly detection and root cause analysis, capacity forecasting and auto-scaling, and intelligent alert noise reduction.
   
5. Enhance Product Experience
   Continuously track cutting-edge AI agent products (e.g., OpenClaw, Claude Code, Devin) and integrate advanced AI interaction paradigms into the storage platform to deliver industry-leading intelligent operations experiences.
   

1. Strong Engineering Foundation
   Proficient in at least one backend language such as Go, Java, or Python. Familiar with frontend frameworks like Vue or React. Hands-on experience building agent applications using LLM APIs (e.g., OpenAI, Claude, Tongyi Qianwen).
   
2. Deep Storage Domain Expertise
   Extensive hands-on experience with distributed storage systems. Familiar with at least two of the following: distributed KV/cache systems, MySQL, distributed databases, graph databases, table storage, and object storage, including both architecture and operational practices.
   
3. AI Application Development Skills
   Strong experience with LLM application development, including RAG, prompt engineering, function calling, and multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen). Proven experience delivering end-to-end AI projects.
   
4. Product Mindset & AI Awareness
   Deep understanding and hands-on experience with AI tools such as OpenClaw, Claude Code, Cursor, and GitHub Copilot. Ability to translate AI capabilities into product features and deliver them in production environments.
   
5. Soft Skills & Ownership
   Excellent problem decomposition and technical problem-solving skills. Strong cross-functional collaboration and communication abilities. Customer-oriented mindset with strong ownership. Forward-looking perspective on applying AI technologies in infrastructure.Fluent in both English and Mandarin.
   
6. Preferred Qualifications
   

• Contributions to technical blogs or open-source projects
  
• Awards in AI-related competitions
  
• Experience in AIOps, intelligent operations, or LLM Agent-related projects