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

rednote • Palo Alto, CA

76d • $200,000 - $400,000

About The Position

This role focuses on leading the architectural evolution and core development of Rednote's storage platform, with a strong emphasis on integrating AI-Native architectures for intelligent storage solutions. The engineer will be responsible for building an intelligent operations system, transforming the platform from a tooling-focused system into an intelligent one. This includes leveraging large language models (LLMs) to create an intelligent operations agent that supports natural language interaction and automating operations through LLM Agent technologies for self-diagnosing, self-healing, and self-optimizing capabilities. The position also involves deepening AI and database innovation through practical LLM adoption in areas like SQL optimization, anomaly detection, capacity prediction, and alert noise reduction, ultimately aiming to elevate the product experience by integrating advanced AI interaction paradigms.

Requirements

• 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.).
• 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.
• Proficient in the LLM application development stack: RAG, Prompt Engineering, Function Calling, and multi-agent frameworks (LangChain, LlamaIndex, AutoGen, etc.).
• Experience shipping complete projects.
• 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.
• 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).

Nice To Haves

• 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.

Responsibilities

• Lead Storage Cloud Platform Architecture & Core Development, exploring AI-Native architectures for intelligent storage solutions.
• Build an intelligent operations system, owning 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.
• Re-architect the automated operations platform based on LLM Agent technologies to build a self-diagnosing, self-healing, and self-optimizing intelligent operations system.
• 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.
• Continuously track leading AI Agent products and integrate advanced AI interaction paradigms into the database storage platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed