Senior Software Engineer - LLM Observability

Honeycomb Honeycomb · Enterprise · United States · Remote · Engineering

Senior Software Engineer focused on building the foundational layer for LLM observability within Honeycomb. This role involves designing and implementing backend systems and APIs in Go, contributing to full-stack features with React/TypeScript, and providing technical leadership. The core responsibility is to make AI workloads observable by defining how AI systems are represented in telemetry, normalizing data from various ecosystems into a consistent OpenTelemetry-based model, and owning the infrastructure and data model for downstream observability experiences. The role emphasizes ownership, collaboration, and technical leadership in a distributed environment.

What you'd actually do

  1. Design, build, and deliver backend systems and APIs.
  2. Build and maintain full-stack product features.
  3. Provide technical leadership.
  4. Collaborate across disciplines.
  5. Support and own your software in production.

Skills

Required

  • Designing, building, and maintaining backend systems
  • APIs and backend services in Go
  • API design
  • error handling
  • developer experience
  • React and TypeScript
  • full-stack software development
  • leading complex technical projects
  • mentoring engineers
  • technical design reviews
  • collaboration
  • communication

Nice to have

  • LangChain
  • OpenLLMetry
  • Braintrust
  • OpenTelemetry

What the JD emphasized

  • Deep experience designing, building, and maintaining backend systems.
  • Experience leading complex technical projects.
  • Ownership and autonomy.
  • A track record of making others better.
  • Clear, open communication.

Other signals

  • LLM Observability
  • OpenTelemetry
  • LangChain
  • OpenLLMetry
  • Braintrust
  • AI systems observable
  • telemetry
  • token usage
  • cost
  • eval signals