4 months ago
Remote, IndiaSenior
Responsibilities
- Build backend systems for Noz, SigNoz’s AI teammate, including agent orchestration, tool calling, SSE streaming, and session state.
- Develop the SigNoz MCP server for querying logs, metrics, and traces and creating alerts and dashboards.
- Build LLM and GenAI observability capabilities using OpenTelemetry.
- Drive initiatives from problem discovery through design, implementation, and rollout.
- Write clear documentation and communicate technical trade-offs.
Requirements
- 5–8 years of experience building backend systems in production at product companies.
- Strong Go skills, including concurrency, channels, and performance.
- Strong asynchronous Python skills with FastAPI, Pydantic, and asyncio.
- Experience designing APIs and data models.
- Curiosity about building with LLMs and agents and the ability to make non-deterministic systems dependable.
Benefits
- Remote-first, async-friendly culture.
- Opportunity to help define agent-native observability and move into AI engineering.
- Work on open-source products and ship in the open with a high-caliber engineering team.
Tech Stack
Categories
About SigNoz
SigNoz builds an open-source observability platform for software teams, unifying metrics, traces, and logs with an OpenTelemetry-native architecture. It offers both self-hosted and managed cloud deployments to monitor and troubleshoot applications and infrastructure without vendor lock-in. Privately held and headquartered in San Francisco, it is Y Combinator–backed and serves DevOps and developer teams working in cloud-native environments.