About The Position
We're looking for a Senior Azure Cloud Infrastructure Engineer to design, build, and operate a highly resilient, secure, and cost-efficient cloud platform supporting advanced AI workloads in a healthcare environment. This role is responsible for mission-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 continuously optimized for both performance and cost. 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.
Requirements
- 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
- Deep expertise in: Azure Virtual Machines, VM Scale Sets, and GPU compute
- Deep expertise in: Azure networking (VNets, Private Link, ExpressRoute, firewalls)
- Deep expertise in: 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
- Proficiency in scripting (Python, Bash, PowerShell)
Nice To Haves
- Experience with Azure AI ecosystem (Azure Machine Learning, Azure AI Foundry, Cognitive Services)
- Familiarity with distributed training, model parallelism, and GPU orchestration
- Experience implementing MLOps pipelines 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
Responsibilities
- Architect and manage highly 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 and optimize GPU-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
Benefits
- Paid vacation, sick time, and personal days
- 11 company paid holidays
- Quarterly UberEats voucher
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
