CIVIE

Senior Azure Cloud Infrastructure Engineer (Healthcare AI Platform)

Remote, USPosted 2 months ago

Job Description

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'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.

What You'll Do

  • 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 mode...

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