Grafana Labs is a remote-first, open-source powerhouse building innovative tools for observability. They are seeking a Staff Developer Advocacy Engineer to develop an Interactive Learning Plugin that enhances user experience and contributes to the open source community.
Responsibilities:
- Build delightful interactive learning inside Grafana
- Ship features that make learning experiences feel obvious, smooth, and scalable
- Improve the end-to-end learner experience—from onboarding to completion
- Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content
- Support private guides and experiences
- Make completion tracking that actually matters
- Build progress and completion tracking that’s trustworthy, motivating, and useful
- Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck
- Treat observability as a product principle
- Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow
- Make it easy to understand what’s happening in production and in real user experiences
- Ship fast with an AI-driven development workflow
- Work daily with tools like Claude Code or Cursor in an agent-based workflow
- Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality
- Participate in an on-call rotation as part of our DevOps culture
Requirements:
- You've used tools like Claude Code or Cursor in real development work (daily or close to it)
- You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness
- You can ship production-grade changes and explain tradeoffs
- You care about architecture, maintainability, correctness, and raising the quality bar (not 'vibe coding' alone)
- You've used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows
- You understand observability practices and how Grafana fits into them
- Meaningful open source contribution or maintainer experience
- Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
- TypeScript and/or Go
- Kubernetes familiarity
- Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)