Cloud / Infrastructure Engineer

Qualified Health

2h•$160,000 - $210,000•Hybrid

About The Position

At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: The Cloud / Infrastructure Engineer is the person who builds the platform that everything else runs on. You'll provision Azure environments from scratch for health system partners — VNet configuration, private endpoints, managed identities, ADLS2 storage accounts, Databricks workspaces, and all the networking and security plumbing that holds it together. This is different from application-level data engineering. You're building the infrastructure foundation that data engineers build on top of. When a health system partner needs a modern data platform stood up so our AI products can connect, you're the person who makes the cloud environment real — from empty Azure subscription to production-ready Databricks workspace with data flowing. You'll work within our data modernization practice, building environments for partners transitioning from legacy infrastructure, and also support the broader integration team with tenant provisioning patterns and infrastructure best practices. If you love Terraform, Azure networking, and the satisfaction of seeing a well-architected cloud environment come to life, this is your role.

Requirements

3-6 years in cloud infrastructure, DevOps, or platform engineering roles
Deep Azure experience: ARM/Bicep or Terraform, VNet design, private endpoints, managed identities, RBAC
Databricks workspace deployment and configuration experience
Networking fundamentals: DNS, firewalls, peering, private link
Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field

Nice To Haves

ADLS2 provisioning and management
Security-conscious infrastructure design: experience with HIPAA infrastructure requirements
Healthcare or regulated industry infrastructure experience
Experience building infrastructure for data platforms (not just web applications)
Familiarity with Delta Share, Fabric External Sharing, or similar data connectivity protocols
IaC Discipline: Your infrastructure code is version-controlled, tested, modular, and reusable — you don't click through portals
Security Mindset: You think about security at every layer — network isolation, identity management, encryption, access controls
Systematic Approach: You build infrastructure that can be reproduced for the next engagement, not one-off environments that require tribal knowledge to maintain
Troubleshooting: When connectivity fails between a VNet and a Databricks workspace, you know where to look and how to diagnose it quickly
Cross-Team Collaboration: You'll work alongside data engineers, modernization leads, and integration teams — you need to speak their language

Responsibilities

Provision Azure environments for modernization engagements: VNets, subnets, NSGs, private endpoints
Deploy and configure Azure Databricks workspaces, ADLS2 storage accounts, and compute clusters
Build and maintain IaC (Terraform/Bicep) for repeatable infrastructure provisioning
Configure managed identities, RBAC, and security controls per engagement requirements
Set up networking for data connectivity (Delta Share, Fabric External Sharing, SFTP endpoints)
Support the Client Integration team with tenant provisioning patterns and infrastructure guidance
Document infrastructure configurations and maintain runbooks