Full-Time

Senior Azure Cloud Infrastructure Engineer

Healthcare AI Platform

Updated on 8/21/2026

CIVIE

CIVIE

No salary listed

Remote in USA

Remote

Category
DevOps & Infrastructure (1)
Required Skills
PowerShell
Bash
Kubernetes
MLOps
Microsoft Azure
Python
Incident Response
Machine Learning
Computer Networking
Infrastructure as Code (IaC)
Docker
Role-based Access Control
SOC 2
Cryptography
Terraform
DevOps
HIPAA
Requirements
  • Five to eight or more years of hands-on experience with Microsoft Azure cloud infrastructure.
  • Experience designing high-availability and disaster-recovery systems in regulated environments.
  • Strong background in healthcare or other compliance-heavy industries.
  • Deep expertise with Azure Virtual Machines, VM Scale Sets, GPU compute, Azure networking, VNets, Private Link, ExpressRoute, firewalls, Blob storage, Files storage, and managed disks with redundancy options.
  • Experience implementing compliance frameworks such as HIPAA or SOC 2.
  • Strong knowledge of identity and access control, including RBAC, Azure Active Directory, and managed identities.
  • Experience with Kubernetes, including Azure Kubernetes Service, and containerized workloads.
  • Proficiency in Python, Bash, and PowerShell scripting.
Responsibilities
  • Architect and manage highly available, fault-tolerant systems on Microsoft Azure with multi-region redundancy and disaster recovery.
  • Design infrastructure that adheres to healthcare compliance standards such as HIPAA, HITRUST, and SOC 2.
  • Provision and optimize GPU-based environments for artificial intelligence and machine-learning workloads, including large-scale model training and inference.
  • Build secure, zero-trust architectures using private networking, encryption, identity isolation, and least-privilege access.
  • Implement backup, failover, and business-continuity strategies with clearly defined recovery time and recovery point objectives.
  • Reduce infrastructure costs through intelligent scaling, reserved capacity, spot instances, and workload optimization.
  • Develop Infrastructure as Code using Terraform, Bicep, and Azure Resource Manager templates for repeatable, auditable deployments.
  • Partner with artificial intelligence and machine-learning teams to productionize and scale foundational models reliably.
  • Establish observability across systems through logging, monitoring, and alerting, with proactive incident response.
  • Conduct architecture reviews, risk assessments, and security audits.
Desired Qualifications
  • Experience with the Azure AI ecosystem, including Azure Machine Learning, Azure AI Foundry, and Cognitive Services.
  • Familiarity with distributed training, model parallelism, and GPU orchestration.
  • Experience implementing machine-learning operations pipelines in regulated environments.
  • Azure certifications such as Solutions Architect Expert, Security Engineer Associate, or DevOps Engineer Expert.
  • Experience with zero-downtime deployments and blue/green or canary deployment strategies.

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