Staff OpenTelemetry Engineer (Python) for AI

Grafana

United States

Remote

USD 126,000 - 157,000

Full time

3 days ago
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Benefits offered by this job

100% remote
RSUs
Annual leave 30 days
In-person onboarding

Job summary

Grafana is seeking a Staff Software Engineer to advance the OpenTelemetry Python SDK and related instrumentation libraries, with a strong emphasis on AI applications. You will work upstream in open-source contexts while delivering improvements to Grafana Cloud offerings and tooling.

As a remote-first company with a global team, you will mentor others, contribute to community standards, and collaborate with cross-functional teams to drive observability innovations across diverse environments.

Qualifications

  • 8+ years of experience in software development with strong Python proficiency.
  • Experience debugging production software, language internals, libraries, and asynchronous code.
  • Experience working in open-source communities and contributing to observability projects.

Responsibilities

  • Develop improvements to the OpenTelemetry Python SDK and instrumentation libraries, with a focus on AI applications.
  • Build Python instrumentation for AI agents and integrate across asynchronous code.
  • Improve Python SDK performance using profiling and benchmarks; assess tradeoffs for runtime overhead and maintainability.
  • Promote OpenTelemetry best practices and contribute to the community and company discussions.
  • Own projects from design through release, collaborating with GTM, Product and Support teams.

Skills

Python
OpenTelemetry
AI applications
Asynchronous code
Open source collaboration

Tools

OpenTelemetry SDKs
Prometheus
Grafana
Tempo
Loki

Job description

Grafana is seeking a Staff Software Engineer to advance the OpenTelemetry Python SDK and related instrumentation libraries, with a strong emphasis on AI applications. You will work upstream in open-source contexts while delivering improvements to Grafana Cloud offerings and tooling.

As a remote-first company with a global team, you will mentor others, contribute to community standards, and collaborate with cross-functional teams to drive observability innovations across diverse environments.

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