Sr Backend Engineer - AI

SigNoz
India
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 5-8 yearsSkills: ["Communication","End-to-end ownership","Technical documentation","Trade-off explanation"]

Build the AI layer of an open-source observability platform, enabling agent-native observability. Work on the Noz AI teammate, the SigNoz MCP server that lets LLM agents query logs, metrics, and traces, and AI SRE/LLM observability. Tackle long-running, secure agent backends with streaming (SSE), tool calling, and session state—using Go and async Python to ship dependable systems end to end.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SigNoz
SigNoz
2 months ago

Sr Backend Engineer - AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build the AI layer of an open-source observability platform, enabling agent-native observability. Work on the Noz AI teammate, the SigNoz MCP server that lets LLM agents query logs, metrics, and traces, and AI SRE/LLM observability. Tackle long-running, secure agent backends with streaming (SSE), tool calling, and session state—using Go and async Python to ship dependable systems end to end.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop AI backend capabilities for agent-native observability, including orchestration, tool execution, and streaming APIs.
  • •Build and maintain the SigNoz MCP server so LLM agents can query user logs, metrics, and traces.
  • •Solve hard agent-backend problems such as long-running execution, security, SSE streaming, tool calling, and session state across databases.
  • •Deliver LLM/GenAI observability using OpenTelemetry so teams can monitor AI applications.
  • •Collaborate with a remote-first team to design, implement, and roll out reliable backend systems.

Key Requirements

  • •5-8 years building backend systems in production with hands-on experience using both Go and Python.
  • •Strong Go skills (concurrency, channels, performance) and async Python using FastAPI, Pydantic, and asyncio.
  • •Designed and shipped LLM features in production (agents, tool/function calling, evals, MCP) with context and prompt engineering.
  • •Experience building and operating distributed systems with clean, scalable code.
  • •Ability to drive initiatives end-to-end from problem discovery through design, implementation, and rollout.
Experience:5-8 yearsObservabilityLLMOpen source
Skills:CommunicationEnd-to-end ownershipTechnical documentationTrade-off explanation
Tech Stack:GoPythonFastAPIPydanticAsyncioOpenTelemetryClickHouseKafkaKubernetesSSEMCPLLMGenAI

Company Brief

SigNoz
Develops an open-source observability platform for monitoring and troubleshooting applications, offering metrics, traces, and logs with self-hosted and cloud options to help engineering teams instrument and analyze performance.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Bengaluru, India
Founded: 2020
WebsiteLinkedIn