Staff Frontend Engineer - Grafana DataViz | Canada | Remote

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, 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 remote position. We are seeking candidates in US and Canada (EST/CST time zones)

The Opportunity

About Grafana Frontend

The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.

You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges.

The squad: DataViz

We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights.

Some of our recent projects include:

Externalisation of our core visualization to be independently releasable and remove interdependencies

GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source.

Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions

Refresh the look and feel of our existing visualizations . E.g Table and Gauge

Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations.

What you’ll be doing

Lead multi-quarter technical initiatives from problem framing through rollout. Including getting user feedback and measuring whether what you shipped actually worked

Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it.

Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.

Provide technical support in customer escalations and help us identify areas of high friction to address.

Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion.

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 with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.

What makes you a great fit: