Senior Full Stack Engineer, Experimentation

New

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

SalaryIn Ireland, the base compensation range for this role is EUR 107,000 - EUR 134,000.

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Job Details

Build and operate production web applications using TypeScript and React.
Build backend services 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.
Deliver complex projects with minimal supervision and break work into short feedback loops.
Have experience supporting software in production and participating in on-call.
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.
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 across the React frontend and Go backend from design through rollout and iteration.
Build workflows for defining hypotheses, configuring experiments and metrics, managing experiment lifecycles and exploring results.
Improve the experimentation SDK and its OpenFeature and Faro integrations to connect variant assignment, exposure and outcome events.
Integrate experiments with Grafana Faro and Frontend Observability, and link results to Session Replay and critical user journeys.
Extend the statistics engine and improve analysis scalability, cost-awareness and correctness.
Extend the Grafana Assistant integration for experiment authoring, explanation and reporting.
Mentor teammates through code review, pairing and design documents, and create architecture decision records, documentation and demos.
Participate in on-call for services you build and support internal teams running experiments.

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