Bilingual Storage Cloud Platform Engineer (Mandarin & English)

About

We are hiring for a Global Top Social Media platform!

Responsibilities

• Lead Architecture Design & Core Development
  • Drive the architecture evolution and core module development of the storage cloud platform.
  • 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.

Qualifications

• 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.