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Software Engineer

Remote, Canada or US · Computer/Software

We are a small all-remote team (mostly US based) backed by YCombinator and Khosla Ventures. We’re helping companies release code quickly and confidently while measuring the impact of what they launch. We are the largest open source feature flagging and A/B testing platform, and growing quickly.

As an open source company, we are focused on bottom-up adoption and building a product that engineers love to use. We have an amazing open source community on Slack that gives us constant feedback, feature requests, and ideas. We are already used in production by hundreds of companies and we’re just getting started!


Some of the problems you'll be working on

  • Real-time 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 NewRelic only get you part of the way there and we want to build a truly comprehensive solution.
  • Robust SQL Test Suite. We support 8 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 our product, 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).


  • Expert in JavaScript (Typescript), React, and Node.js
  • Solid understanding of both SQL and NoSQL databases
  • Experience building large web applications from scratch
  • Fluent English and good communication skills
  • Located close to US time zones
  • Startup experience or interest working in a small company
  • Bonus: Contributed to an open-source project
  • Bonus: Built an A/B testing platform
  • Bonus: Experience with feature flagging or A/B testing at scale
  • Bonus: Built data-heavy analytics applications

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