AI-Driven Cloud Storage Platform Architect

rednote; Palo Alto (CA); On-site; USD 200,000 - 400,000; Full time

Job summary

Rednote is seeking a senior backend/AI-focused engineer in Palo Alto to lead storage platform architecture and core development. You will drive the evolution of an intelligent storage system, integrating AI agent technologies and natural language interfaces to simplify database operations.

Strong backend and AI tool experience, with fluency in English and Chinese, will help translate AI capabilities into product features and engineering delivery.

Qualifications

• Proficient in at least one backend language (Go/Java/Python) and familiar with frontend frameworks (Vue/React).
• Hands-on with distributed storage and multiple storage technologies (KV/cache, MySQL, distributed databases, graph DB, object storage).
• Experience with LLM application development stacks (RAG, Prompt Engineering, Function Calling, multi-agent frameworks).
• Strong product thinking and ability to translate AI capabilities into features and engineering delivery.
• Fluent in English and Chinese (spoken and written).

Responsibilities

• Lead storage cloud architecture and core development of Rednote's storage platform.
• Build an intelligent operations system with self-service database management and natural language interaction.
• Re-architect operations platform using LLM Agent tech for self-diagnosing, self-healing, and self-optimizing operations.
• Drive AI-enabled database innovations: SQL optimization, anomaly detection, capacity planning, auto-scaling, smart alerting.
• Track and integrate leading AI agents to enhance the product experience in storage and databases.

Skills

Go

Java

Python

Vue

React

Agent APIs

LLM/AI

Distributed storage

English & Chinese

Tools

LangChain

LlamaIndex

AutoGen

OpenAI API

Claude API

Qwen API

Job description

Rednote is seeking a senior backend/AI-focused engineer in Palo Alto to lead storage platform architecture and core development. You will drive the evolution of an intelligent storage system, integrating AI agent technologies and natural language interfaces to simplify database operations.

Strong backend and AI tool experience, with fluency in English and Chinese, will help translate AI capabilities into product features and engineering delivery.