Staff Software Engineer, Developer Advocacy | Canada | Remote

Grafana Labs

Canada (Remote)Remote$186,368

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Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . 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. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. 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. Staff Software Engineer, Developer Advocacy | Canada | Remote This is a fully remote position and we're considering candidates in Canada. 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) 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. Serious software engineering fundamentals You can ship production-grade changes and explain tradeoffs. You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone). Grafana context You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows. You understand observability practices and how Grafana fits into them. 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. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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