资深后端开发工程师-存储与智能化系统
Core
Building a feature storage middle platform for advertising, e-commerce, and lifestyle services, and optimizing Large Language Model (LLM) KV Cache technology for high-throughput attention computation.
Role type
Senior Backend Engineer (Storage & Intelligent Systems)
Builds
Feature storage middle platform, LLM KV Cache infrastructure, and metadata services
Domain
Internet services, Big Data, AI Infrastructure
Deliverable
production ML models
Required skills
Go, C++, MySQL, PostgreSQL, Redis, MongoDB, Hadoop, Spark, Flink
Preferred skills
Metadata service architecture, microservices design, open-source community contributions
Technologies
Transformer, Attention mechanisms, Microservices
Responsibilities
Design and optimize feature storage architecture for high volume and performance; Develop and optimize LLM KV Cache systems for network and storage efficiency; Architect and implement high-availability metadata services and storage solutions.
Seniority
Senior, hands-on IC
