Senior Software Engineer - Observability Real User Monitoring (RUM) | Canada | Remote

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.

This is a full-time remote opportunity. We are considering candidates from US and Canada only.

The opportunity

Grafana Observability builds end-to-end observability that spans application, infrastructure, database, browser, and mobile. Our Real User Monitoring (RUM) initiative focuses on capturing, storing, and querying high-volume user interaction data from browsers and mobile devices, enabling teams to understand real-world user experiences at scale.

We’re building systems that ingest and process massive amounts of telemetry—sessions, events, traces, and logs—and make them explorable in real time. This requires deep expertise in high-performance backend systems, columnar storage, and intuitive frontend experiences.

Our solutions are tightly integrated with OpenTelemetry and Grafana Cloud. We care deeply about performance, cost-efficiency, and developer experience across the entire stack—from instrumentation to query layer to visualization.

We value open standards, great developer experience, and doing the hard engineering needed to ship reliable software at scale. You may not meet every requirement below. If this role excites you, please raise your hand.

What you’ll be doing

• Build and evolve fullstack features for RUM, spanning backend services, APIs, storage systems, and frontend user experiences.
• Design and implement systems that ingest, store, and query high-cardinality, high-volume telemetry data using columnar/analytical databases.
• Develop performant query layers and APIs that power real-time exploration of user sessions, traces, and events.
• Contribute to frontend applications that visualize RUM data, enabling users to debug performance issues and understand user behavior.
• Work on data modeling, indexing strategies, and query optimization to ensure low-latency, cost-efficient analytics at scale.
• Collaborate closely with SDK engineers (browser and mobile) to ensure high-quality data ingestion and schema evolution.
• Own projects end-to-end: from design and implementation to deployment, monitoring, and iteration.
• Break down complex, ambiguous problems into incremental deliverables and iterate quickly based on feedback.
• Ensure quality through testing, observability of your own systems, documentation, and smooth upgrade paths.
• Collaborate cross-functionally with backend, frontend, product, and solutions engineering to deliver cohesive observability workflows.
• Support teammates, participate in technical design discussions and help shape the RUM roadmap.

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).