Citizen%20Health

Staff Platform Engineer

San Francisco, California, United StatesFull timeStaffPosted 15 days ago
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THE PROBLEM

We run an agentic AI platform that acts as a personal advocate for rare disease patients. Our AI agent lives in your text messages, makes phone calls, automates browser sessions, maintains persistent memory across months of patient interactions, and coordinates multiple sub-agents to handle everything from appointment preparation to insurance navigation. The infrastructure challenge is unlike anything in traditional SaaS: long-running autonomous agent sessions with unpredictable compute patterns, real-time messaging at scale, tool-use pipelines that touch the open web on behalf of patients, and healthcare-grade compliance requirements across all of it.

We need someone to own this platform end-to-end.

THE ROLE

We're hiring a Staff Platform Engineer to build and own the infrastructure that powers Citizen Health — the cloud platform, deployment systems, and reliability practices that let our teams ship AI-driven features safely at speed. You'll partner with teams across AI, web, mobile, and data engineering to keep our platform performant, secure, and compliant with healthcare standards (HIPAA, SOC 2, and adjacent frameworks).

This is a hands-on technical leadership role. You'll write code, set the direction for platform engineering, and raise the bar for how the entire org runs in production. You will likely be the first dedicated infrastructure hire and will build the platform engineering function from the ground up — owning everything from Terraform to on-call until you grow the team.

You'll report to the Director of Engineering.

WHAT YOU'LL DRIVE

Platform & infrastructure strategy — Set the technical direction for our agentic platform. Design architectures that handle long-running AI agent sessions, real-time WhatsApp message delivery, and autonomous tool execution (browser, phone, API calls) — all within HIPAA boundaries. Make the right build-vs-buy calls and keep infrastructure cost-efficient as we scale from hundreds to tens of thous...