Grafana Labs
Staff Software Engineer, Agentic Applications - Grafana Ops, AI/ML | Canada | Remote
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. 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.
This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time.
Staff Engineer – Agentic ApplicationsThe Opportunity:
At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments.
We're looking for an experienced engineer with a background in agentic applications to help us redefine how users interact with observability systems. In this role, you’ll develop AI-powered workflows that can:
Support incident response by querying telemetry and other analysis tools to investigate alerts and suggest actions.
Evaluate overall infrastructure and/or observability quality and help automate meaningful improvements.
Expand the capabilities of agents across the observability stack.
What You’ll Be Doing:
- Design and evolve systems that use intelligent agents that assist users in detecting, triaging, and resolving incidents using observability data and tools.
- Build end-to-end workflows for incident lifecycle management, powered by LLMs or agentic technologies.
- Implement agentic systems to automate bulk workloads (such as large-scale analyses and report generation), suggest improvements, and surface likely root causes of failures.
- Integrate agentic components with internal tools, runbooks, alerting systems, incident platforms, and development environments.
What Makes You a Great Fit:
- Experience working in environments with rapid iteration and experimental development.
- A pragmatic mindset that values developer experience, reproducibility, and thoughtful trade-offs when scaling GenAI systems.
- A passion for minimizing human toil and building AI systems that actively support engineers.
Bonus Points For:
- Build APIs and orchestration logic for chaining agent actions into multi-step workflows.
- Integration of agentic applications with existing platforms and third-party tools.
- Experience with multi-agent systems is a plus.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD 174,176 - CAD 209,011.
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.
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.
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