Senior Azure Cloud Infrastructure Engineer – Healthcare AI Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and oversee the deployment of highly available, fault-tolerant systems on Microsoft Azure, ensuring multi-region redundancy and disaster recovery.

• Create infrastructure that strictly complies with healthcare regulations (e.g., HIPAA, HITRUST, SOC 2).

• Provision and enhance GPU-based environments tailored for AI/ML workloads, encompassing large-scale model training and inference.

• Develop secure, zero-trust architectures that include private networking, encryption, identity isolation, and least privilege access.

• Execute backup, failover, and business continuity strategies with well-defined RTO/RPO metrics.

• Continuously optimize infrastructure costs through intelligent scaling, reserved capacity, spot instances, and workload management.

• Create Infrastructure as Code (Terraform, Bicep, ARM) for consistent and auditable deployments.

• Collaborate with AI/ML teams to reliably productionize and scale foundational models.

• Establish observability across systems through logging, monitoring, and alerting, coupled with proactive incident response.

• Perform architecture reviews, risk assessments, and security audits.

⛳️ Requirements

• 5–8+ years of direct experience with Microsoft Azure cloud infrastructure.

• Demonstrated ability to design high-availability and disaster recovery systems in regulated environments.

• Strong experience in the healthcare sector or other compliance-intensive industries.

• Extensive knowledge of Azure Virtual Machines, VM Scale Sets, and GPU computing.

• Proficient in Azure networking components (VNets, Private Link, ExpressRoute, firewalls).

• Familiarity with storage solutions (Blob, Files, managed disks with redundancy options).

• Experience in implementing compliance frameworks such as HIPAA or SOC 2.

• Strong understanding of identity and access management (RBAC, Azure AD, managed identities).

• Experience with Kubernetes (AKS) and containerized workloads.

• Proficient in scripting languages (Python, Bash, PowerShell).

🏝️ Benefits

• Paid vacation, sick leave, and personal days.

• 11 company-paid holidays.

• Quarterly UberEats voucher.

• Monthly fringe benefits.

• Flexible work schedules.

• Professional development stipend.

• Health, dental, and vision insurance, with employer HSA contributions.

• Short-term disability (STD), long-term disability (LTD), and life insurance.

• 401(k) company match and profit-sharing options.