Staff OpenTelemetry Engineer - Python & AI (Remote)

Grafana

United States

Remote

USD 143,000 - 179,000

Full time

3 days ago
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Benefits offered by this job

RSUs
100% Remote
30 days annual leave + shutdown days
Open Source culture

Job summary

Grafana is hiring for a Staff Engineer to advance the OpenTelemetry Python SDK and instrumentation libraries, with a focus on AI agents. You’ll contribute to upstream projects, accelerate innovation, and deliver practical guidance across teams.

This remote role welcomes applicants from multiple countries and emphasizes open source collaboration. You will collaborate with OpenTelemetry communities, influence technical direction, and ship high-impact improvements in a heavily distributed,

Qualifications

  • 8+ years of experience in software development with strong Python proficiency.
  • Experience debugging production software and async code.
  • Interest in AI applications and agent systems.

Responsibilities

  • Develop improvements to the OpenTelemetry Python SDK and instrumentation libraries, focusing on AI applications.
  • Build Python instrumentation for AI agents and model calls across asynchronous code.
  • Improve Python SDK performance with profiling and benchmarks.
  • Promote OpenTelemetry best practices within the company and the community.
  • Lead projects from design to release and mentor teammates.
  • Collaborate with GTM, Product and Support teams and assist customer conversations.

Skills

Python
OpenTelemetry
AI applications
Instrumentation

Tools

Grafana
Prometheus
OpenTelemetry SDKs

Job description

Grafana is hiring for a Staff Engineer to advance the OpenTelemetry Python SDK and instrumentation libraries, with a focus on AI agents. You’ll contribute to upstream projects, accelerate innovation, and deliver practical guidance across teams.

This remote role welcomes applicants from multiple countries and emphasizes open source collaboration. You will collaborate with OpenTelemetry communities, influence technical direction, and ship high-impact improvements in a heavily distributed,

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