Senior Azure Cloud Infrastructure Engineer (Healthcare AI Platform)
TypeFull-time job
LocationUnited States
Posted2 hours ago
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 designinghigh-availability and disaster recovery systemsin 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, LLCprovides equal employmentopportunitiesfor 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 cannotsubmityour application due to a disability, please email ; wewillreasonably accommodateindividuals with disabilities to the extent required by applicable law.
Originally posted on Himalayas
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 designinghigh-availability and disaster recovery systemsin 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, LLCprovides equal employmentopportunitiesfor 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 cannotsubmityour application due to a disability, please email ; wewillreasonably accommodateindividuals with disabilities to the extent required by applicable law.
Originally posted on Himalayas
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