Synced from Ashby · Jun 30

Sr Backend Engineer - AI

SigNozIndiaPosted Jun 30, 2026
Backend EngineerRemoteSenior
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Mirrored from SigNoz's own Ashby careers system · refreshed hourly

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Jun 30
Posted
Ashby
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Job description

About SigNoz

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:

  • 31,000+ GitHub stars

  • 900+ customers

  • 8,000+ members in our Slack community

Role: Sr Backend Engineer - AI

We're looking for a Sr Backend Engineer for Nerve, our AI pod. Nerve builds the AI layer of SigNoz: Noz (our AI teammate), the MCP server, AI Agents, and LLM observability. We're building toward agent-native observability, where the engineer and their agent are both first-class users.

 

What you'll work on

  • Noz, our AI teammate: agent orchestration, tool calling, streaming over SSE, and session state, the hard parts of agent backends

  • SigNoz MCP server: the surface through which any LLM agent works with SigNoz, querying logs, metrics, and traces, and creating alerts, dashboards

  • LLM/GenAI observability: monitoring AI apps with OpenTelemetry, ours included

What will make you successful

  • 5-8 years building backend systems in production at product companies with strong engineering culture. 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.

  • Curious about building with LLMs and agents. You don't need AI experience, strong backend engineers pick this up fast, and we'll ramp you up. What matters is the drive to make a non-deterministic system behave like a dependable one.

  • High ownership in a fast-moving, remote-first team: you drive initiatives from problem discovery → design → implementation → rollout, write clear docs, and explain trade-offs.

Nice-to-haves

  • Shipped LLM features in production: agents, tool or function calling, evals, MCP, context and prompt engineering

  • Familiarity with OpenTelemetry and/or ClickHouse, Kafka, Kubernetes, etc.

  • Loves open source, ideally with prior contributions to OSS projects (any size)

Why you'll love working at SigNoz

  • You'll help define agent-native observability, a new category, not maintain a mature dashboard product.

  • If you've been wanting to move into AI engineering, this is a real path in: you bring the backend depth, we bring the AI problems.

  • Ship in the open, with a high-caliber team who just can't stop shipping.

  • Remote-first, async-friendly culture

View original posting on Ashby

What applying to SigNoz usually looks like

Based on publicly available information, candidates applying through ashby for roles such as backend engineer, product manager, or support engineer can generally expect a structured online application process, typically beginning with a form requesting a resume and basic details, sometimes followed by role-specific questions. Communication is commonly handled through automated email updates generated by the platform, and response times vary depending on the hiring team's workload and the volume of applicants. The process may include multiple stages, such as initial screening, skills-based assessments, and conversations with team members, though the exact structure can differ by role and department. Candidates should typically prepare materials relevant to the specific position, as technical roles may involve practical exercises while non-technical roles may focus more on experience and cultural fit discussions. Following up politely after submission is generally considered acceptable.

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Sr Backend Engineer - AI
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