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Comrise

Comrise

via LinkedIn

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Bilingual Storage Cloud Platform Engineer (Mandarin & English)

United States
Full-time
Posted 4/14/2026
Verified Source
Key Skills:
Storage Systems
Cloud Platform Development
AI Application Development

Compensation

Salary Range

$120K - 220K a year

Responsibilities

Lead architecture design and AI-driven development of a storage cloud platform with intelligent operations capabilities.

Requirements

Requires strong backend programming, deep distributed storage expertise, AI/LLM application development experience, and bilingual English-Mandarin fluency.

Full Description

We are hiring for a Global Top Social Media platform! Job type: Full-time, Perm Location: temporarily remote in the Bay Area OR hybrid in NYC Salary Range: USD $120,000 – $220,000 base annually Industry Experience: 2–8 years of experience in storage and cloud platform development and operations. Candidates with a background in AIOps or LLMOps are highly preferred. 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.

This job posting was last updated on 4/15/2026

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