SF startup building AI that pairs people through conversation, not endless profiles.

Backend Engineer

San FranciscoOn-site$200K - $350K4 - 6 yearsReferral bonus eligible
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You'll build the systems that let a small team of human matchmakers scale to thousands of users. Most days: designing APIs that surface rich user narratives to our matching pipeline, shaving latency off our ranking queries, and untangling the data model as our user base diversifies. We're pre-series-B, eighteen people, and the infra choices you make now will stick — so we need someone who thinks in trade-offs, not just trending tools.

What they're looking for

  • 4-6 years shipping backend systems, with fluency in at least two of: TypeScript, Python, Go, Java
  • Hands-on experience deploying to AWS or GCP; Docker and Kubernetes aren't buzzwords to you, they're debugged-at-2am familiar
  • Track record designing APIs and data models for consumer products where latency and correctness both matter
  • Comfort working on-site in San Francisco with a tight-knit team of engineers, designers, and matchmakers
  • Genuine interest in the human side: you ask how a technical decision affects the person on the other end of the app

Tech stack

TypeScriptPythonGoJavaDockerKubernetesAWSGCP

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This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.

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