C

Citizen Health

Aggregates and organizes patient health data

Staff Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 8 years of software or infrastructure engineering experience and at least 4 years in a senior individual-contributor or technical leadership role on a Platform, Site Reliability Engineering, or DevOps team.
  • Deep expertise running production systems on AWS, Google Cloud Platform, or Azure.
  • Hands-on experience with Kubernetes, infrastructure as code such as Terraform or Pulumi, and modern continuous integration and continuous delivery tooling such as GitHub Actions, ArgoCD, or Spinnaker.
  • Strong programming skills in at least one of Go, Python, or TypeScript, with the ability to build tooling rather than only configure it.
  • Demonstrated experience scaling production infrastructure through a significant growth inflection, such as tenfold user growth, a new product surface, or an architectural migration.
  • A proven track record designing for high availability, zero-downtime releases, and graceful degradation in regulated or data-intensive environments.
  • Strong security fundamentals, including identity and access management, secrets management, network segmentation, vulnerability management, and supply-chain security.
  • Experience at an early-stage or high-growth startup with broad infrastructure ownership.
  • Strong written and verbal communication skills for post-mortems, roadmap discussions, and written team communications.

Responsibilities

  • Set technical direction for the agentic platform and design architectures supporting long-running AI agent sessions, real-time WhatsApp message delivery, and autonomous browser, phone, and API tool execution within HIPAA boundaries.
  • Make build-versus-buy decisions and keep infrastructure cost-efficient while scaling from hundreds to tens of thousands of active patients.
  • Define service-level objectives, build the observability stack, drive incident response, maintain high uptime, and make on-call sustainable.
  • Fix production incidents, write post-mortems, and implement follow-up improvements to prevent recurrence.
  • Own the deployment pipeline end-to-end and improve inner- and outer-loop developer experience so teams can ship to production frequently and confidently.
  • Partner with AI engineering to optimize model serving, manage GPU and compute capacity, negotiate vendor contracts, and ensure unit economics work as the platform scales.
  • Partner with security and legal to maintain HIPAA, SOC 2, and related regulatory standards, implement patient-data controls, and contain the risk of agent tool use.
  • Work with Product, AI/ML, Data, and Security teams to translate platform needs into a roadmap and unblock teams.
  • Build the platform engineering function from the ground up, initially owning infrastructure from Terraform to on-call.

Desired Qualifications

  • Experience supporting AI/ML workloads in production, including model serving, inference optimization, GPU infrastructure, vector databases, or large-scale data pipelines.
  • Familiarity with agentic AI systems, multi-agent orchestration, or long-running autonomous workflows.
  • Experience with messaging infrastructure at scale, including message queues, webhook reliability, delivery guarantees, or rate limiting for WhatsApp, SMS, or similar systems.
  • Background in health technology, life sciences, fintech, or other regulated domains, including HIPAA, SOC 2, HITRUST, or FedRAMP.
  • Familiarity with FHIR, HL7, or other healthcare data standards.
  • Experience growing a Platform or Site Reliability Engineering function from a small group of generalists into a specialized team.

About the Company

Citizen Health

Aggregates and organizes patient health data

Citizen Health aggregates and organizes patients’ medical histories into a searchable digital platform, giving patients and their families a way to access, manage, and share health data with clinicians and researchers. It collects records from multiple sources, indexes them, and provides search, filter, and export features so users can use their data for care decisions and to participate in studies. The company differentiates itself by prioritizing patient control over data and enabling patient-driven research, partnering with healthcare providers and research organizations to speed drug development and improve outcomes. Its goal is to make health data more accessible and usable for patients, clinicians, and researchers to transform care and support new treatments.

Company size
51-200
Company stage
Series A
Total funding
$44.5M
Headquarters
San Francisco, CA
Founded
2023

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