Staff Software Engineer - Developer Advocacy

New

Canada Location base: Canada This is a fully remote position and we're considering candidates in Canada.Full-TimeStaff

Salary186,368 - 223,642 CAD per year

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Job Details

AI harness experience (agentic development)
Used tools like Claude Code or Cursor in real development work (daily or close to it).
Can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
Serious software engineering fundamentals
Can ship production-grade changes and explain tradeoffs.
Care about architecture, maintainability, correctness, and raising the quality bar.
Grafana context
Used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
Understand observability practices and how Grafana fits into them.
Small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.
Meaningful open source contribution or maintainer experience (Bonus)
Full-stack experience (Bonus)
TypeScript and/or Go (Bonus)
Kubernetes familiarity (Bonus)
Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry) (Bonus)

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
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.
Participation in an on-call rotation as part of our DevOps culture.

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