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Med Clinic X is a healthcare technology company focused on secure, cloud-native digital health systems across the United States. We are seeking a Cloud Security Engineer to design, implement, and maintain secure cloud environments for healthcare SaaS platforms and digital health systems.
You will protect sensitive healthcare data, secure cloud infrastructure, and ensure compliance across AWS, Azure, or GCP environments used by healthcare organizations in the United States.
Med Clinic X is a healthcare technology company building secure, cloud-native digital health systems for healthcare organizations across the United States.
We develop healthcare SaaS platforms, AI-powered healthcare systems, patient portals, telemedicine solutions, automation workflows, and scalable cloud-based digital health infrastructure.
Our mission is to ensure every healthcare system we build is secure, compliant, and resilient against evolving cyber threats.
We are seeking a Cloud Security Engineer to design, implement, and maintain secure cloud environments for healthcare SaaS platforms and digital health systems.
In this role, you will protect sensitive healthcare data, secure cloud infrastructure, and ensure compliance across AWS, Azure, or GCP environments used by healthcare organizations in the United States.
You will collaborate closely with DevOps, cloud engineers, and software teams to build secure-by-design healthcare systems.
At Med Clinic X, you will help secure the systems that power modern healthcare delivery. You will:
Cloud Platform Security (AWS/Azure/GCP) IAM & Role-Based Access Controls SIEM log monitoring (Splunk/ELK) Container security (Docker/K8s) KMS Cryptographic Key Management DevSecOps CI/CD security gating
Configure ingress filtering rules and secure API paths connecting hospital nodes.
Audit container orchestration boundaries and host networking configurations.
Establish encryption-at-rest policies on patient databases and backup nodes.
Scan integration queues and encrypt API keys used by external health portals.
Harden GPU clusters and secure pipeline inputs feeding into medical NLP models.
Conduct automated security audits to verify HIPAA and HITRUST compliance rules.