You’ll work on our self-hosted LLM observability platform (built on Langfuse) — it’s where all our AI services send their traces, so we can see how every document and model call flows through the system, what it costs, and why things break. It’s a TypeScript/Node codebase running on Kubernetes (AKS). You’ll help build and operate the platform and the instrumentation around it — a great role for someone early‑career who’s genuinely curious about how systems behave in production.

Job Responsibilities

• Instrumenting our services with traces, metrics, and structured logs, and making that data useful in dashboards and alerts.
• Helping run and maintain the platform (web + worker services, and the queues and datastores behind them).
• Triaging issues by following a request end‑to‑end through the traces.

Requirements

• 1–2 years of backend / platform / full‑stack engineering or strong internship/project experience.