Senior Backend Engineer – AI

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SigNoz

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🏢 Enterprise

Software • SaaS • Enterprise

SigNoz is an open-source observability tool designed as an alternative to Datadog and New Relic. It provides a comprehensive platform that integrates application performance monitoring (APM), logs, metrics, traces, exceptions, and alerts in a single tool. SigNoz supports various deployment options including self-hosting and cloud services, and it's built to handle extensive data ingestion, making it suitable for teams of all sizes to monitor, troubleshoot, and enhance application performance efficiently.

📋 Description

• You 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

🎯 Requirements

• 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

🏖️ Benefits

• Remote-first, async-friendly culture • Opportunity to help define the future of open-source observability • Work on a globally used open-source project that engineers actually love • Collaborate with high-caliber team who just can't stop shipping