---
title: 'Sr Backend Engineer - AI at SigNoz'
canonical: 'https://feeny.ai/job/sr-backend-engineer-ai-signoz-india-dywh2svf58hx'
type: 'job'
last_seen: '2026-09-12'
---

# Sr Backend Engineer - AI at SigNoz

- **Company:** SigNoz
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-30
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/SigNoz/d8fd6b52-8499-4dad-9903-f231e39c996d/application

**Skills:** Go, Python, FastAPI, Pydantic, asyncio, LLM features, Agent orchestration, Tool calling, Function calling, MCP, SSE, Distributed systems, API design, Data modeling, OpenTelemetry, ClickHouse, Kafka, Kubernetes, Observability, Monitoring

> Join the AI pod to build agent-native observability features, including the Noz AI teammate and SigNoz MCP server. You will design scalable backend systems using Go and Python, focusing on LLM/GenAI integration and distributed systems.

## 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](https://signoz.io/blog/introducing-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

## About SigNoz

## Company Overview
- **One-liner**: SigNoz is an open-source observability platform that provides logs, metrics, traces, and alerts under a single pane of glass, serving as an alternative to Datadog and New Relic.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2021
- **Founders**: Pranay Prateek (CEO) and Ankit Nayan (CTO)

## Core Business
- **Primary industry/industries**: Observability, Application Performance Monitoring (APM), Software Development, DevOps
- **Target customers**: B2B; high-growth engineering teams, platform engineers, and DevOps teams at startups to public enterprises
- **Mission or purpose statement**: To help developers find signals (actionable insights) from the noise of their observability systems, building more reliable products through a single, open-source platform.

## Products & Services
- **SigNox Cloud**: A fully managed, SOC 2 compliant observability platform hosted by SigNoz, live in minutes.
- **SigNoz Self-Hosted**: Deployable via Helm chart in your own VPC or air-gapped environment for complete data privacy and compliance (HIPAA, GDPR).
- **SigNoz BYOC (Bring Your Own Cloud)**: SigNoz manages the stack inside the customer’s AWS/GCP/Azure account; data never leaves the customer’s VPC.
- **Agent Native Observability**: Connect SigNoz to coding agents (e.g., Claude Code, Cursor) to debug production issues directly from the dev environment.
- **Noz (AI Teammate)**: An AI-powered feature for natural language observability, allowing users to talk to their observability stack in English.
- **Core Modules**: Distributed Tracing, Log Management, Metrics & Dashboards, Alerts, Infrastructure Monitoring, and LLM/AI Observability (token-level tracing, per-model cost attribution).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of **$6.5M**; Annual Revenue of **$3.0M** (estimated)
- **Notable Investors/Partners**: **SignalFire** (lead investor in seed round), Y Combinator (backed). Notable partners include the Cloud Native Computing Foundation (CNCF).
- **Growth Signals**: 
  - **Headcount**: 49 employees (+52.9% YoY, +18 people)
  - **GitHub Stars**: 24,000+
  - **Community Members**: 4,500+
  - **LinkedIn Followers**: 8,174 (+42.4% YoY)
  - **Data Scale**: Proven track record of handling 10TB+ data ingestion per day.
  - **Global Reach**: Used by teams across 5 continents; operates in 5 countries (US, India, Brazil, Chile, Afghanistan).

## Competitive Advantages
- **Open Source + OpenTelemetry Native**: Built from the ground up for OpenTelemetry, preventing vendor lock-in. Instrumentation remains a company asset.
- **Single Pane of Glass**: Unifies logs, metrics, and traces in one highly optimized backend (ClickHouse), enabling correlated debugging.
- **Cost Predictability**: Usage-based, transparent pricing with no per-host penalties for auto-scaling and no special pricing for custom metrics.
- **Enterprise-Grade**: SOC 2 Type II, fine-grained RBAC, support for high-cardinality data, and 24x7 expert support.
- **AI-Native Observability**: Correlates AI/LLM workloads with the entire infrastructure (databases, microservices, applications), unlike siloed LLM-only tools.

## Strategic Focus
- **AI & LLM Workload Observability**: Deepening capabilities for monitoring AI applications, including token-level tracing and cost attribution.
- **Agent Native Observability**: Integrating with development agents to reduce MTTR (Mean Time to Resolution) by allowing debugging directly from the coding environment.
- **Scale and Performance**: Continued optimization of the ClickHouse-based ingestion engine to handle high-cardinality and massive data volumes (10TB+/day).
- **Enterprise Adoption**: Expanding enterprise features (RBAC, compliance, self-hosted/BYOC) and support plans to win larger customers.
- **Community Growth**: Nurturing the open-source community (24k+ GitHub stars, 4.5k+ community members) to drive adoption and contributions.

## Why Work Here
- **Culture**: A developer-first, open-source company obsessed with the "signal vs noise" problem. The team is highly technical and distributed globally.
- **Remote/Hybrid Policy**: Remote-friendly, with a significant presence in India (38 employees) and the US (6 employees). The company operates across 5 countries.
- **Engineering Culture**: Deep expertise in OpenTelemetry, distributed tracing, log pipeline design, and cost governance. Engineers work on a high-scale, high-impact product used by thousands.
- **Growth Trajectory**: Rapid headcount growth (+52.9% YoY) and increasing job postings (+250% YoY), indicating a scaling phase with ample opportunity for impact.
- **Notable Perks**: Work with a modern stack (ClickHouse, Go, OpenTelemetry), contribute to a leading open-source project, and solve hard problems at scale.
- **Current Open Roles**: Forward Deployed Engineer, Sr Backend Engineer - Platform, Growth Marketing (India/EU/US), Founding DevRel, Founding Designer, and others (7 active postings as of mid-2026).

## Sources
1. [signoz.io](https://signoz.io/)
2. [signoz.io/about-us](https://signoz.io/about-us/)
3. [signoz.io/why-signoz](https://signoz.io/why-signoz/)
4. [linkedin.com/company/signozio](https://www.linkedin.com/company/signozio)
5. [jobs.ashbyhq.com/SigNoz](https://jobs.ashbyhq.com/SigNoz)

## Other roles at SigNoz

- [Head of Finance](https://feeny.ai/job/head-of-finance-signoz-india-vbh01msmx4x3) — India
- [Senior Software Engineer - Frontend](https://feeny.ai/job/senior-software-engineer-frontend-signoz-india-c9g6vrz577bj) — India
- [Head of Demand Gen](https://feeny.ai/job/head-of-demand-gen-signoz-india-e3s0qh830kw9) — India
- [AI GTM Engineer](https://feeny.ai/job/ai-gtm-engineer-signoz-india-pw0a3qk4bben) — India
- [Sr Product Designer](https://feeny.ai/job/sr-product-designer-signoz-india-7gkw81919mjp) — India
- [Sr Site Reliability Engineer](https://feeny.ai/job/sr-site-reliability-engineer-signoz-india-q51zgjxvm8mq) — India
- [Exceptional Engineer](https://feeny.ai/job/exceptional-engineer-signoz-india-4gbe7747dsxw) — India
- [Sr Product Manager - IC](https://feeny.ai/job/sr-product-manager-ic-signoz-india-1gn9gkgkjkhs) — India
- [Staff Backend Engineer - Core](https://feeny.ai/job/staff-backend-engineer-core-signoz-india-w2z8zrs7wy6j) — India
- [Staff Backend Engineer - Platform](https://feeny.ai/job/staff-backend-engineer-platform-signoz-india-aq2azxvfdtw1) — India