Storage Platform R&D Engineer（Database Intelligence）- rednote

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

About Rednote

rednote is one of the world's most trusted platforms, where over 350 million people share how they actually live, travel, create, and discover. In a world of infinite content, what sets rednote apart is its source: real human experience, honestly lived and generously shared — one note at a time. We are now writing our global chapter, and this team is at the forefront.

What You'll Do

• Lead Storage Cloud Platform Architecture & Core Development — Drive the architectural evolution and core module development of Rednote's storage platform. Explore AI-Native architectures for intelligent storage solutions and transform the platform from a tooling-focused system into an intelligent platform.
• Build Intelligent Operations System — Own the technical planning and execution of a self-service storage and database management platform. Leverage large language model capabilities to build an intelligent operations agent that supports natural language interaction, lowering the barrier to database operations.
• Drive Intelligent Operations Transformation — Re-architect the automated operations platform based on LLM Agent technologies to build a self-diagnosing, self-healing, and self-optimizing intelligent operations system — enabling a shift from manual operations to fully automated, zero-touch operations.
• Deepen AI + Database Innovation — Lead practical LLM adoption in database domains, including: intelligent SQL optimization, anomaly detection and root cause analysis, capacity prediction and auto-scaling, and intelligent alerting noise reduction.
• Elevate Product Experience — Continuously track leading AI Agent products (such as Cursor, Claude Code, Devin, etc.) and integrate advanced AI interaction paradigms into the database storage platform to deliver industry-leading intelligent operations experience.

Qualifications

• Strong Engineering Foundation — Proficient in at least one backend programming language (Go / Java / Python); familiar with frontend frameworks (Vue / React); hands-on experience building Agent applications using large model APIs (OpenAI, Claude, Qwen, etc.).
• Deep Storage Domain Experience — Hands-on experience with distributed storage; familiar with the principles and operational practices of at least two of: distributed KV/cache, MySQL, distributed databases, graph databases, table storage, or object storage.
• AI Application Development — Proficient in the LLM application development stack: RAG, Prompt Engineering, Function Calling, and multi-agent frameworks (LangChain, LlamaIndex, AutoGen, etc.); experience shipping complete projects.
• Product Thinking & AI Fluency — Deep practical experience with AI tools such as Cursor, Claude Code, GitHub Copilot, etc.; ability to translate AI capabilities into product features and engineering delivery.
• Strong Soft Skills — Excellent at breaking down requirements and driving technical execution; strong cross-team communicator; customer-oriented mindset and strong sense of ownership; forward-looking judgment on AI in infrastructure; fluent in both English and Chinese (spoken and written).
• Bonus — A technical blog, open-source contributions, or AI competition awards are a plus; hands-on experience in AIOps, intelligent operations, or LLM Agent development is highly preferred.

The Pay Range For This Role Is

200,000 - 400,000 USD per year(Palo Alto, CA)