Principal Cloud & Systems Engineer, Radiology AI

ABOUT CUREMETRIX - www.CureMetrix.comCureMetrix is a global leader in Artificial Intelligence for medical imaging, committed to advancing technology that improves healthcare and survival rates across the globe. Its mission is to help save lives with early and more accurate detection and support improved clinical and financial outcomes, delivering technology that radiologists, healthcare systems, and patients can rely on with confidence.If you want to be part of innovation that saves lives, take a giant step in your career, and put your hands-on experience to work in a successful start-up environment, we want you to join and grow with our team.ROLE OVERVIEWWe are hiring a Principal Cloud & Systems Engineer to own the technical foundation of our radiology AI platform.This is a true player–coach role — equal parts system-level architecture and hands-on engineering. You will define long-term technical direction and personally write production code, harden ML pipelines for clinical use, and lead resolution of complex distributed system failures.You will shape a hybrid cloud platform that processes high-volume medical imaging workloads across hospital on-prem environments and AWS infrastructure — directly enabling radiologists to receive AI-powered insights faster and improving patient care.What You’ll OwnArchitecture & Platform StrategyEnd-to-end architecture of a distributed, hybrid cloud medical imaging platformScalable patterns supporting tens → hundreds of healthcare deploymentsCompute platform decisions (Lambda, ECS/EKS, batch/parallel processing) backed by data and POCsAuto-scaling, cost optimization, reliability, and observability standardsMajor technical tradeoffs and long-term system evolutionDICOM networking (DIMSE and DICOMweb) across diverse hospital environments — C-STORE, C-FIND, C-MOVEImplementation and maintenance of SCP/SCU services, routing logic, and transfer pipelines using utilities such as dcm4che, pynetdicom, dcmtk, Orthanc and similar toolsInfrastructure & Distributed SystemsHIPAA-compliant hybrid cloud architecturesSecure large-scale medical imaging data transfer between hospital systems and AWSInfrastructure-as-code strategy (Pulumi, Terraform, or equivalent)IAM, encryption, VPC/network segmentationResilient backup, restore, and disaster recoveryDeep troubleshooting across cloud, edge clients, GPU compute, and hospital IT networksHands-On Engineering (Player–Coach Execution)Design, implement, and review production backend and distributed processing systemsProductize ML pipelines with Data ScienceLead debugging of high-severity production incidentsOptimize compute-intensive imaging workloadsRaise the engineering bar through direct contribution and visible leadershipHarden research code into clinical-grade softwareHealthcare & Regulatory AlignmentLead technical onboarding and PACS integration strategyDesign systems aligned with FDA medical device standards and HIPAACollaborate with Quality on compliant SDLC documentation (SRS, SDS, validation, traceability)What We’re Looking For8+ years building and architecting production cloud systems8+ years hands-on software engineeringPrior Staff or Principal-level ownership preferredStrong Docker + Kubernetes experienceInfrastructure-as-code proficiencyStrong Python and/or Java in production environmentsExperience with distributed, event-driven systemsHybrid cloud / on-prem deployment experienceFamiliarity with DICOM, PACS, FHIR/HL7, and HIPAA-regulated environmentsStrong architectural instincts and sound engineering judgment across distributed systems, cloud-based micro-services, and event-driven pipelinesHands-on experience with cloud-native building blocks — object storage, message queues, pub/sub messaging, serverless compute, and container orchestration — across any major cloud provider (AWS Preferred)Bonus: Medical imaging AI, GPU compute, LLM/RAG systems, or FDA-regulated software experience.What Success Looks LikePlatform scales predictably as customer deployments growProduction incidents decline in frequency and severityEngineering standards become measurable and consistentDeployment velocity increases without compromising complianceThis role is ideal for someone who wants real architectural ownership and is energized by building in a regulated, high-impact radiology AI environment.If that’s you — let’s talk.