Staff Developer Advocacy Engineer

Grafana Labs is a remote-first, open-source powerhouse.

• There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps.
• The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France.
• Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work.

You may not meet every requirement, and that’s okay.

If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow.

We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials

What You’ll Be Doing:

• 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.

We invest heavily in developer productivity.

You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

This role includes participation in an on-call rotation as part of our DevOps culture.

We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything.

You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• Serious software engineering fundamentals
• Grafana context

You’ll also do a 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.

Bonus Points For:

• 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)

Compensation & Rewards:

In Canada, the base compensation range for this role is $186,368 CAD - $223,642 CAD.

Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success.

We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.