Senior Staff Software Engineer
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Job Location:
Los Angeles, CA - USA
Monthly Salary:
$ 200000 - 260000
Posted on:
2 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
AboutCircadiaHealth
: Contactlesssensingthatmonitorsrespirationandmotionwithmedical-gradeaccuracy; Predictiveanalytics&agenticAIworkflowsthatdetect85%ofpreventablerehospitalizations11daysinadvance; EnterpriseintegrationsthatembedinsightsdirectlyintoEHRcare-coordinationbillingandcompliancesystems
.
$200000 - $260000 a year
WhyThisRoleExists
Wearescalingfromto$.
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WhatYoullDo
ArchitectCoreBackendSystems
Designandevolvehigh-performanceservicesthatingestdevicetelemetryprocesspredictivesignalsorchestrateAIagentsandserveenterprisedashboards.
OwnIntegrationsatScale
BuildandhardenintegrationswithEHRsbillingsystemsandenterprisetoolsviaHL7FHIRRESTSFTPandwebhookpipelines.
DesignforReliability&Throughput
Ensuresystemsscaleacrosstensofthousandshundredsofthousandsofpatientswithhighavailabilityandlowlatency.
LeadInfrastructureStrategy
Owncloudarchitecture(AWS/GCP)containerizationCI/CDmonitoringobservabilityandincidentresponsestandards.
BuildDataPipelines
Developsecurecompliantdataflowsfortime-seriestelemetryclinicaldataingestionandAImodeloutputs.
EstablishEngineeringStandards
Definebackendarchitecturepatternstestingframeworksdeploymentworkflowsandcodequalitystandards.
ImproveDeploymentVelocity
Createtoolingandinfraimprovementsthatreduceenvironmentsetuptimeincreasereleaseconfidenceandsupportrapidenterpriseonboarding.
EnsureSecurity&Compliance
PartnerwithSecurityandCompliancetomaintainHIPAASOC2andhealthcare-gradedataprotections.
Mentor&RaisetheBar
Actasatechnicalleaderacrossbackendandinfrateamsreviewingarchitecturementoringengineersanddrivinglong-termtechnicalstrategy.
WhatGreatLooksLike(ExampleProfile)
Designedbackendsystemssupporting50K500Kusersordevices
Builtscalableingestionpipelinesforhigh-frequencytime-seriesdata
LedEHRorhealthcareintegrations(HL7/FHIR)inproduction
Reducedinfrastructurecostswhileimprovingsystemreliability
Designedmulti-regionfailoverorhigh-availabilityarchitectures
ImprovedCI/CDvelocityandreducedincidentfrequencymaterially
Must-HaveQualifications
8yearsofbackendsoftwareengineeringexperience
DeepexpertiseindistributedsystemsandAWScloud
StrongproficiencyinPythonorNode/TypeScript
ExperiencedesigningRESTfulAPIsandevent-drivensystems
Experiencewithcontainerization(Docker)andorchestration(Kubernetes)
Familiaritywithdatabases(PostgresRedistime-seriesDBs)
Strongunderstandingofobservability(metricsloggingtracing)
Experiencescalingsystemsinhigh-growthproductionenvironments
WillingtoworkinLosAngeles(initiallyembeddedwithteam)
Nice-to-Haves
Experiencewithhealthcaredatastandards(HL7FHIR)
ExperiencebuildingAI/MLinfrastructurepipelines
FamiliaritywithKafkaorstreamingarchitectures
Backgroundinregulatedenvironments(HIPAASOC2)
Experiencesupportinghardwaresoftwareintegratedplatforms
PriorStaff/Principal-levelengineeringleadership
YoullThriveHereIf
Youthinkinsystemsandfailuremodes
Youproactivelyeliminatetechnicaldebtbeforeitcompounds
YouenjoydesigningdurableinfrastructuremorethanflashyUI
Youholdhighstandardsandelevatethosearoundyou
Youtakeprideinbuildingsystemsthatjustworkatscale
Compensation&Equity
$200000$260000bonusmeaningfulstockoptions
Benefits
100%company-paidmedicaldentalandvision
401(k)withmatch
GenerousPTO
Professionaldevelopmentbudget
Company-paidannualretreat
Ready to Engineer the Backbone of Healthcare AI
Send your résumé and a short note describing:
The most scalable backend system youve designed
A production outage you resolved and what you changed afterward
An infrastructure decision that paid off long-term
We read every application.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
About Company
Enabling early detection of respiratory failure powered by contactless sensing, clinic software, and artificial intelligence.
