Senior Frontend Engineer, Grafana Labs

• Strong engineering skills: Solid experience building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. You treat writing tests as a core part of the development process, not an afterthought. You have experience with TypeScript and React, Jest and Playwright
• Complex operational thinking: Can take on complex challenges and break them down into tight feedback loops: analyze, design, ship an MVP, gather data, then iterate
• Proven initiative and pragmatism: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and define scope, breaking complex challenges down to achieve short feedback loops
• Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table
• Enjoy learning, growing, and supporting others to do the same
• Appreciate efficiency and strive to identify and utilize the most effective tools for the task at hand. You naturally share your use of these tools with your team to maintain transparency and growth
• We understand that you may not have experience on all of the above. Please do apply even if you do not match some of the above criteria

Desirable

• 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
• Take an active role in influencing our roadmap and your own career objectives
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Be a part of your team’s on-call rotations and take ownership of the services you’re running
• Mentor and support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase
• Contributing to and reviewing design documents for upcoming features
• 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)