Senior Staff Software Engineer

Circadia Health•Los Angeles, CA

8h•$200,000 - $260,000•Onsite

About The Position

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 headquartered in El Segundo, CA. We are scaling from to $100M+, and our backend 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 Circadiaâs platformâowning backend systems, integration frameworks, and infrastructure reliability at scale. This is not a ticket-closing role. This is a platform-defining role.

Requirements

8+ years of backend software engineering experience
Deep expertise in distributed systems and AWS cloud
Strong proficiency in Python or Node/TypeScript
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)

Nice To Haves

Experience with healthcare data standards (HL7, FHIR)
Experience building AI/ML infrastructure pipelines
Familiarity with Kafka or streaming architectures
Background in regulated environments (HIPAA, SOC 2)
Experience supporting hardware + software integrated platforms
Prior Staff/Principal-level engineering leadership

Responsibilities

Architect Core Backend Systems
Design and evolve high-performance services that ingest 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 â 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, SOC 2, and healthcare-grade data protections.
Mentor & Raise the Bar
Act as a technical leader across backend and infra teamsâreviewing architecture, mentoring engineers, and driving long-term technical strategy.