Qualified Health is a Palo Alto–based enterprise AI platform and strategic partner that helps health systems deploy, govern, and scale AI across clinical and operational workflows.
Transform healthcare with us. 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. Key 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 Required Qualifications: - 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 Preferred Skills: - 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 Technical Environment: Our data infrastructure is built on modern cloud technologies including: - Azure Databricks + Data Factory (plus Fabric and Snowflake integrations) - PySpark for distributed data processing - GitHub Actions + Terraform for CI/CD and Infrastructure as Code - Python with type-safe patterns and modern frameworks - Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $160,000 and $210,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.