Staff Frontend Engineer, Grafana Labs

• We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind and enjoy working as a team
• Technical leadership. You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment
• You take responsibility for operating the software you have built. You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed
• You enjoy working on complex solutions, building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision
• User focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory
• You care about our community of users and contributors and are keen to be an active Grafana Community Contributor

Desirable

• 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 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
• 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 insigh
• 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
• 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
• Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations
• 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