Senior Observability & AI Backend Engineer

Zane Lee is an experienced full-stack engineer with a strong background in building developer infrastructure and working with distributed systems. He is the co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis. He has built a custom MCP server for natural language querying of trace data using LLMs like Claude, optimizing context consumption through intelligent data distillation. Zane is comfortable using AWS as a cloud environment and has experience with AI technologies such as RAG, MCP, and Vector embeddings. He is seeking roles in backend engineering, DevOps/SRE, observability, or AI tooling.