Senior Software Engineer

About Circadia Health

Circadia Health is a growth‑stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior‑care operations. Our Circadia Intelligence Platform combines contactless sensing that monitors respiration and motion with medical‑grade accuracy; predictive analytics & agentic AI workflows that detect 85% of preventable rehospitalizations ~11 days in advance; enterprise integrations that embed insights directly into EHR, care‑coordination, billing, and compliance systems.

Today, our technology touches 40,000+ post‑acute patients daily across skilled‑nursing, home‑health, and home‑care networks. We are backed by leading healthcare and AI investors and are headquartered in El Segundo, CA.

$200,000 - $260,000 a year

We are scaling from $100M+ and our back‑end systems must scale faster than revenue. Our predictive models, agentic workflows, device telemetry, and enterprise integrations all depend on resilient infrastructure. As deployments multiply across SNFs nationally, performance, reliability, data integrity, and security become existential.

We need a Senior Staff Engineer who architects and hardens the backbone of Circadia’s platform—owning back‑end systems, integration frameworks, and infrastructure reliability s is not a ticket‑closing role. This is a platform‑defining role.

• Architect Core Backend Systems – Design and evolve high‑performance services that handle device telemetry, process predictive signals, orchestrate AI agents, and serve enterprise dashboards.
• Own Integrations at Scale – Build and harden integrations with EHRs, billing systems, and enterprise tools via HL7, FHIR, REST, SFTP, and webhook pipelines.
• Design for Reliability & Throughput – Ensure systems scale across tens of thousands to hundreds of thousands of patients with high availability and low latency.
• Lead Infrastructure Strategy – Own cloud architecture (AWS/GCP), containerization, CI/CD, monitoring, observability, and incident response standards.
• Build Data Pipelines – Develop secure, compliant data flows for time‑series telemetry, clinical data ingestion, and AI model outputs.
• Establish Engineering Standards – Define backend architecture patterns, testing frameworks, deployment workflows, and code quality standards.
• Improve Deployment Velocity – Create tooling and infra improvements that reduce environment setup time, increase release confidence, and support rapid enterprise onboarding.
• Ensure Security & Compliance – Partner with Security and Compliance to maintain HIPAA, SOC2, and healthcare‑graded data protections.
• Mentor & Raise the Bar – Act as a technical leader across backend and infra teams—reviewing architecture, mentoring engineers, and driving long‑term technical strategy.

• Designed back‑end systems supporting 50K–500K+ users or devices.
• Built scalable ingestion pipelines for high‑frequency time‑series data.
• Led EHR or healthcare integrations (HL7/FHIR) in production.
• Reduced infrastructure costs while improving system reliability.
• Designed multi‑region failover or high‑availability architectures.
• Improved CI/CD velocity and reduced incident frequency materially.

• 8+ years of backend software engineering experience.
• Deep expertise in distributed systems and AWS cloud.
• Strong proficiency in Python or Node/Type Script.
• Experience designing RESTful APIs and event‑driven systems.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with databases (Postgres, Redis, time‑series DBs).
• Strong understanding of observability (metrics, logging, tracing).
• Experience scaling systems in high‑growth production environments.
• Willing to work in Los Angeles (initially embedded with team).

• Experience with healthcare data standards (HL7, FHIR).
• Experience building AI/ML infrastructure pipelines.
• Familiarity with Kafka or streaming architectures.
• Background in regulated environments (HIPAA, SOC2).
• Experience supporting hardware + software integrated platforms.
• Prior staff/principal‑level engineering leadership.

• You think in systems and failure…