Senior Azure Cloud Infrastructure Engineer (Healthcare AI Platform)

Location: United States CIVIE was founded in 2018 to tackle the toughest radiology challenges with advanced and evolving technologies. Designed by a team with deep radiology industry experience, CIVIE is driven by our passion for innovation. You'' be joining a fully remote team of experts who are deeply committed to our mission and focused on delivering solutions that truly move the needle for our partners and the healthcare industry. If what we are doing excites you, we would love to connect. Overview We'relooking fora Senior Azure Cloud Infrastructure Engineer to design, build, andoperatea highly resilient, secure, and cost-efficient cloud platform supporting advanced AI workloads in a healthcare environment. This roleis responsible formission-critical infrastructure powering our proprietary foundational AI model, including GPU-based compute, while meeting strict requirements for compliance, data protection, and high availability. You will play a key role in ensuring our systems are fault-tolerant, auditable, and continuouslyoptimizedfor both performance and cost. What You'll Do Architect and managehighly available, fault-tolerant systems on Microsoft Azure with multi-region redundancy and disaster recovery Design infrastructure with strict adherence to healthcare compliance standards (e.g., HIPAA, HITRUST, SOC 2) Provision andoptimizeGPU-based environments for AI/ML workloads, including large-scale model training and inference Build secure, zero-trust architectures (private networking, encryption, identity isolation, least privilege access) Implement backup, failover, and business continuity strategies with clearly defined RTO/RPO targets Continuously reduce infrastructure costs through intelligent scaling, reserved capacity, spot instances, and workload optimization Develop Infrastructure as Code (Terraform, Bicep, ARM) for repeatable, auditable deployments Partner with AI/ML teams to productionize and scale foundational models reliably Establish observability across systems (logging, monitoring, alerting) with proactive incident response Conduct architecture reviews, risk assessments, and security audits Required Experience 5–8+ years of hands-on experience with Microsoft Azure cloud infrastructure Proven experience designing high-availability and disaster recovery systems in regulated environments Strong background in healthcare or other compliance-heavy industries Deepexpertisein: Azure Virtual Machines, VM Scale Sets, and GPU compute Azure networking (VNets, Private Link, ExpressRoute, firewalls) Storage solutions (Blob, Files, managed disks with redundancy options) Experience implementing compliance frameworks such as HIPAA or SOC 2 Strong knowledge of identity and access control (RBAC, Azure AD, managed identities) Experience with Kubernetes (AKS) and containerized workloads Proficiencyin scripting (Python, Bash, PowerShell) Preferred Qualifications Experience with Azure AI ecosystem (Azure Machine Learning, Azure AI Foundry, Cognitive Services) Familiarity with distributed training, model parallelism, and GPU orchestration Experience implementingMLOpspipelines in regulated environments Azure certifications (Solutions Architect Expert, Security Engineer Associate, DevOps Engineer Expert) Experience with zero-downtime deployments and blue/green or canary strategies Infrastructure Expectations Multi-region architecture with automated failover End-to-end encryption (data at rest and in transit) Segmented environments (dev/staging/prod) with strict isolation Real-time monitoring and alerting with defined SLAs Automated backup and recovery with regular testing Cost visibility and governance across all resources What Success Looks Like Near-zero downtime systems with tested failover capabilities Full compliance readiness with audit trails and documentation Efficient GPUutilizationsupporting AI workloads at scale Measurable reduction in cloudspendwithout compromising reliability or security Seamless collaboration between infrastructure and AI teams Why This Role Matters You will be building the backbone of the next-generation healthcare AI platform - where reliability, security, and performance directly impact real-world outcomes. This is not just infrastructure; it is critical systems engineering at the intersection of cloud, AI and healthcare. We offer Paid vacation, sick time, and personal days 11company paid holidays QuarterlyUberEatsvoucher Monthly Fringe benefits Flexible work schedules Professional development stipend Health, dental, and vision benefits, with employer HSA contribution STD, LTD and life insurance 401(k)company match and profit sharing Collaborative Imaging Technology, LLC provides equal employment opportunities for all applicants and employees. All qualified applicants will be considered regardless of an individual’s race, color, sex, gender identity or expression, religion, age, national origin, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, military or veteran status, or any other basis protected by federal, state or local laws. If you cannot submit your application due to a disability, please email ; we will reasonably accommodate individuals with disabilities to the extent required by applicable law.