Bilingual Mandarin Storage Cloud Platform Engineer (Database Intelligence Focus)
$120k - $200kComrise
Bilingual Mandarin Storage Cloud Platform Engineer (Database Intelligence Focus) Location: New York, NY, 10011
Salary: $120-$200k/Year
Responsibilities
Salary: $120-$200k/Year
Responsibilities
- 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. - 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. - 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. - 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. - 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.
- 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). - 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. - 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. - 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. - 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. - 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
Vacancy posted 2 days ago
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