About the role
We are looking for a staff full stack engineer to join our small, but growing team. This role is fully remote, but we do prefer candidates in US timezones so everyone has some overlapping work hours. As an early employee, you will have immense impact on the product and business.
Some of the problems you’ll be working on
- Scaling Event Ingestion. We ingest analytics events from customers (e.g. button clicks, purchases) and make them available for querying with SQL. We need to scale to millions of events per second while keeping latency low (<30s).
- Warehouse Native Product Analytics. We are building an analytics suite (a la Mixpanel or Amplitude) on top of a company’s existing SQL data warehouse. This will require extensive front-end work, data engineering, and performance tuning.
- Realtime Feature Flag Analytics. When a developer pushes code live, they want to know two things right away - “Did I just break anything?” and “Is anyone using my new feature?”. APM tools like DataDog only get you part of the way there and we want to build a truly comprehensive solution.
- Robust SQL Test Suite. We support 12 different SQL data sources, from Postgres to BigQuery to PrestoDB, and each of them have their own quirks and bugs that we need to work around. Supporting this at scale will require building robust automated test suites and provisioning complex cloud infrastructure on demand.
- Streaming Features Service. When someone toggles a feature flag in GrowthBook, we want it to propagate to all of their clients around the world within seconds. And we need to do this reliably (99.999% uptime) and at scale (billions of requests per day).
