Senior Azure Cloud Infrastructure Engineer (Healthcare AI Platform)

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

• Quarterly