SigNoz is an open-source observability platform that helps modern engineering teams monitor, debug, and optimize their applications with deep visibility into metrics, traces, and logs, all in one place. We're built natively on OpenTelemetry and offer both self-hosted and cloud options, so teams can run observability the way they want, without vendor lock-in.
We are growing fast and building core developer infra products. And we are not fooling around:
27,000+ GitHub stars
900+ customers
8,000+ members in our Slack community
We're looking for a Sr Backend Engineer for Nerve team, our AI pod. Nerve team builds the AI layer of SigNoz: Noz (observability AI teammate inside SigNoz), the SigNoz MCP server, AI SRE, and LLM/GenAI observability. We're building agent-native observability at SigNoz, where the engineer and their agent are both first-class users.
What you'll work onYou will be working with the high-caliber team in some of the below areas.
Noz, AI teammate: agent orchestration, tool execution, and the APIs that stream results back into the product
SigNoz MCP server that exposes observability data to LLM agents, so any agent can query a user's logs, metrics, and traces
The hard parts of agent backends: long-running execution, security, streaming over SSE, tool calling, and session state across DBs
LLM/GenAI observability, so teams (including us) can monitor their own AI apps with OpenTelemetry
5-8 years building backend systems in production. You'll work across both Go and Python.
Strong with Go (concurrency, channels, performance) and with async Python (FastAPI, Pydantic, asyncio), and comfortable designing APIs and data models.
You have built and shipped LLM features in production: agents, tool or function calling, evals, MCP, context and prompt engineering. You know how to make a non-deterministic system behave like a dependable one.
Experience building distributed systems while writing clean and scalable code
Ability to drive initiatives end-to-end: from problem discovery → design → implementation → rollout
Comfortable working in a high-ownership, fast-moving, remote-first environment
Strong communication skills, can write clear tech docs and explain trade-offs
Past experience in AI or platform teams of series B+ startups
Experience in observability (monitoring / logging / tracing)
Familiarity with OpenTelemetry and/or ClickHouse, Kafka, Kubernetes, etc.
Loves open source, ideally with prior contributions to OSS projects (any size)
You'll help define agent-native observability, a new category, not maintain a mature dashboard product.
Work on a globally used open-source project that engineers actually love
Collaborate with high-caliber team who just can't stop shipping
Remote-first, async-friendly culture
Opportunity to help define the future of open-source observability
Skills Required
- 5-8 years building backend systems in production
- Proficiency in Go (concurrency, channels, performance)
- Proficiency in async Python (FastAPI, Pydantic, asyncio) and API/data model design
- Built and shipped LLM features in production (agents, tool/function calling, evals, MCP, prompt/context engineering)
- Experience building distributed systems and writing clean, scalable code
- Ability to drive initiatives end-to-end: problem discovery, design, implementation, rollout
- Strong communication skills; can write clear technical documentation and explain trade-offs
- Comfortable working in a high-ownership, fast-moving, remote-first environment
- Past experience in AI or platform teams of Series B+ startups
- Experience in observability (monitoring, logging, tracing)
- Familiarity with OpenTelemetry, ClickHouse, Kafka, Kubernetes
- Prior open-source contributions
What We Do
Open source Observability platform
