Senior Full Stack Engineer, Experimentation

New

Grafana LabsProduct analytics

This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany.Full-TimeSenior

SalaryIn Spain, the base compensation range for this role is €85,000 - €107,000. All of our roles include Restricted Stock Units (RSUs)

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Job Details

Build and operate production web applications using TypeScript and React.
Have backend service experience in Go or a similar language, with willingness to work in Go.
Have experience building an in-house experimentation platform or integrating an existing experimentation or A/B testing platform.
Be comfortable working with event data, SQL, and data warehouses such as BigQuery.
Have delivered complex projects with minimal supervision and broken work into short feedback loops.
Have experience being on call and supporting software in production.
Know how to make systems observable and debuggable.
Use AI coding tools thoughtfully, validate their output, and share practices that improve team speed and quality.
Be able to explain technical and statistical tradeoffs to engineers, analysts, and product managers in a remote, asynchronous environment.
Value maintainability, automated testing, and secure development practices.

Evolve the experimentation app from an internal tool into a product, owning features end to end across the React frontend and Go backend.
Develop workflows for defining hypotheses, configuring experiments and metrics, managing experiment lifecycles, and exploring results.
Improve the experimentation SDK and its OpenFeature and Faro integrations, including consistent identity and event contracts.
Integrate with Grafana Faro and Frontend Observability to capture flag exposures and outcomes, and link results to Session Replay and user journeys.
Extend the statistics engine and improve the scalability, cost awareness, and correctness of experiment analysis.
Extend Grafana Assistant integration for experiment authoring, explanations, and reporting.
Mentor teammates through code review, pairing, and design documents; write architecture decision records, documentation, and demos.
Participate in on-call for services you build and support internal teams running experiments.

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