Senior Software Engineer (LLM Observability)

Description du poste

The LLM Observability (LLM O11y) team builds the foundational layer that makes AI workloads observable in Honeycomb. We define how AI systems are represented in telemetry (spans, traces, token usage, cost, eval signals, etc), and ensure that data from diverse ecosystems (e.g., LangChain, OpenLLMetry, Braintrust) is normalized into a consistent OpenTelemetry-based model This team owns the infrastructure and data model that all downstream AI observability experiences rely on. Our work powers everything from cost analysis to anomaly detection. If you’re excited about defining and building the “source of truth” for how AI systems behave in production, this is the team for you Design, build, and deliver backend systems and APIs. You’ll architect and implement APIs and backend services in Go, emphasizing clarity, maintainability, and backward compatibility. You’ll think proactively about cost, scale, and risk — anticipating technical issues and exploring alternatives and tradeoffs thoroughly Build and maintain full-stack product features. You’ll contribute frontend (React/TypeScript) and backend (Go) code to build robust product features, maintaining proficiency across the stack. You’ll deliver impactful features that add value for our customers, our team, and Honeycomb overall Provide technical leadership. You’ll define patterns and operational guidelines that raise the bar for the team and beyond. You’ll plan, lead, and deliver complex, multi-team projects — including ones with external dependencies — ensuring alignment and mentoring teammates along the way. We rotate tech lead responsibilities with each feature to allow everyone on the team to use and grow these skills Collaborate across disciplines. You’ll work closely within a product triad model alongside design and product partners, from discovery through delivery, iterating quickly based on user feedback. You’ll contribute to the team’s technical roadmap and help shape quarterly product roadmaps, tying techni

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