Senior Full-Stack Engineer: Experimentation Analytics Remote

grafanalabs; USA; Remote; USD 140.000 - 210.000; Vollzeit

Benefits dieser Stelle

Equity awards

30 days annual leave

In-person onboarding

Zusammenfassung

grafanalabs is seeking a senior full stack engineer to build and evolve an experimentation product. You’ll work end‑to‑end on a TypeScript/React frontend and a Go backend, turning an internal tool into a dependable product with robust deployment and measurement workflows.

You’ll collaborate across engineering, data, and product teams, contribute to feature flag integration, telemetry, and live data pipelines, and help shape the user experience and workflows for experiment authoring.

Qualifikationen

• Senior‑level full stack experience delivering production software across frontend and backend.
• Strong experience with TypeScript and React; practical Go backend development.
• Ability to collaborate across engineering, data, and product teams; good product sense.

Aufgaben

• Develop features end to end across a TypeScript/React frontend and a Go backend.
• Turn internal experimentation tool into a dependable product across planning, rollout, and measurement.
• Integrate experiments with feature flags, telemetry, and live data sources.
• Collaborate with data scientists on statistics and with data engineers on event pipelines.
• Coordinate with engineers and product stakeholders on app platform capabilities and UX.
• Improve experiment authoring and analysis workflows and configuration tooling.

Kenntnisse

TypeScript

React

Go

Full stack engineering

Collaboration

Tools

Grafana app

OpenFeature

Kubernetes

Jobbeschreibung

grafanalabs is seeking a senior full stack engineer to build and evolve an experimentation product. You’ll work end‑to‑end on a TypeScript/React frontend and a Go backend, turning an internal tool into a dependable product with robust deployment and measurement workflows.

You’ll collaborate across engineering, data, and product teams, contribute to feature flag integration, telemetry, and live data pipelines, and help shape the user experience and workflows for experiment authoring.