Teams at SigNoz

Design and deliver data-rich, production-ready UX for an open-source observability platform. Lead end-to-end product design from discovery to shipped features, create component-based patterns and design system work, prototype rapidly (including AI-assisted workflows), and engage customers to validate workflows for developer and SRE audiences.

Build the AI layer for SigNoz: implement agent orchestration, long-running execution, streaming APIs (SSE), and MCP server integrations to expose observability data to LLM agents. Ship production LLM features, design scalable distributed backends in Go and async Python, and drive projects end-to-end in a remote-first environment.

Own and build large, data-intensive frontend features for an observability platform using React and TypeScript. Design complex workflows across dashboards, traces, logs, metrics, and alerts; optimize UI performance with virtualization, caching, and selective rendering; profile slow interactions; contribute to frontend architecture, design system, and cross-functional product decisions.