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Full-stack engineer (Software Engineer I) on Honeycomb's LLM Observability team, building AI observability end to end: ingesting agent/LLM signals like cost, token usage, and errors, and surfacing them in in-product visualizations. Backend work in Go and/or Python, frontend in TypeScript and React.
Builds and owns Honeycomb's AI/LLM observability product end to end — from ingestion pipelines and agent data models to in-product visualizations of cost, tokens, errors, and anomalies — on a small cross-functional team. Full-stack work: Go and/or Python on the backend, TypeScript and React on the frontend.
What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh,…
Build and ship production-grade AI agents that investigate, reason, and act on live observability data in Honeycomb’s Canvas product, leveraging its high-cardinality data store to create unique agent capabilities.
The Senior Software Engineer II will design and maintain the storage and query infrastructure that powers Honeycomb's observability platform. This role involves building high-performance systems using Go, collaborating across teams, and participating in on-call rotations to ensure platform reliability.
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