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Med Clinic X in Austin is seeking an experienced Azure Cloud Engineer to design, deploy, and manage secure cloud infrastructure powering healthcare SaaS and digital health platforms.
You will work with Azure services, automation, security best practices, and CI/CD pipelines, collaborating with DevOps, engineering, and security teams to deliver scalable cloud environments for patient portals and healthcare apps.
Med Clinic X is a healthcare technology company building secure, scalable, and cloud-powered digital health solutions for healthcare organizations across the United States.
We develop healthcare SaaS platforms, AI-driven healthcare systems, patient portals, telemedicine solutions, automation workflows, and modern cloud-based healthcare applications for clinics, hospitals, and healthcare providers.
Our mission is to create reliable healthcare technology infrastructure that supports better digital experiences and improved healthcare operations.
We are seeking an Azure Cloud Engineer to design, deploy, and maintain secure cloud infrastructure supporting healthcare SaaS applications and digital health platforms.
In this role, you will work with Microsoft Azure services, cloud automation, security practices, and infrastructure management to ensure reliable and scalable healthcare technology solutions. You will collaborate with DevOps, engineering, and security teams to build cloud environments that support modern healthcare workflows.
At Med Clinic X, you will build the cloud foundation behind modern healthcare technology. You will:
Deploy scalable compute clusters, app services, and api endpoints across cloud resource groups.
Configure Azure API for FHIR to exchange, load, and manage health records securely.
Maintain secure cloud databases, blob storage endpoints, and dynamic portal workloads.
Optimize cloud network connections, VPN gateway interfaces, and routing to remote medical databases.
Scale GPU-accelerated container instances and compute loads dynamically under heavy portal traffic.
Support streaming media server infrastructures, signaling nodes, and network failover setups.