This is a remote opportunity, and we are considering applicants from Canadian eastern time zones only.
The DataViz squad is part of the Frontend Team in Grafana. We are responsible for the panels that visualise data in Grafana like Histogram, Time series, Geomap and Canvas. Our mission is to make all data visualisation useful, performant, and beautiful so that Grafana’s users can make informed and confident decisions with their own data.
Come and join us if you’re passionate about anything and everything OSS, Grafana and Data Visualisation.
- You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We value autonomy and enabling decisions over committees and red tape. You have at least a couple of years of experience as a front-end developer. We are a distributed team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own, and ship working code is crucial.
- You are a confident software engineer who’s experienced with data transformation and visualisation (eg SQL, Pivot Tables, D3.js, Matplotlib or Jupyter Notebooks).
- You have a good understanding of a software development process that takes a user-centred approach.
- You easily build an understanding of the user’s context and goals which will help you build the right solution that brings the biggest value to them.
- You know how to transform ideas into working code – you are able to design a solution, get feedback, and write a prototype by yourself.
- You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward.
- You are able to communicate the design decisions clearly in written and spoken English.
- You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and care deeply about their workflows.
- You have an active interest in the three observability pillars (Metrics, Logs and Traces) and how they come together to build a powerful workflow.
- You’re familiar with being on-call and performing operations tasks like version checking and rollbacks.
- We work with React as our framework, Typescript, Redux, and RxJS
- Rendering libraries such as uPlot, D3.js, Lodash and OpenLayers
- We use Golang for code that needs to live on the backend
- The team collaborates on reviewing feature requests from the OSS community and our customer base, identifying high-level roadmap themes, and overall driving the direction of data visualisation together with observability at Grafana Labs.
- Our business as usual includes raising and fixing bugs, developing and testing new features, trialling innovative ideas for our products, close collaboration with UX, contributing to design docs, and more.
- We are also closely collaborating with other squads in order to enhance the Grafana user onboarding journey.
In Canada, the Base compensation range for this role is CAD 146,409 - CAD 175,691. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.
*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.
About Grafana Labs: 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).
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