Senior Full-stack Engineer, AWS & AI

Zane Lee is an experienced full-stack engineer with a strong background in building and deploying applications, particularly in cloud environments like AWS. He is the co-creator of Retriever, an AWS-deployed observability platform that leverages AI for trace analysis in distributed systems. His expertise includes developing custom MCP servers for natural language querying of trace data using LLMs (like Claude) and optimizing context consumption through intelligent data distillation. He is proficient in a wide array of technologies including Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, Docker, Terraform, OpenTelemetry, Jaeger, and Prometheus. He is comfortable with AWS services (ECS, EC2, VPC, ALB, Secrets Manager) and has hands-on experience with AI technologies such as RAG, MCP, and Vector embeddings. Zane is located in Charleston, SC, is open to remote work, and willing to relocate.