SigNoz
via Ashby
Sr Backend Engineer - AI
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 77d ago
The date the source published, not the day we noticed it (2026-06-30). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 3h ago
The listing
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