Cloud Specialist

Summary:

Community Health Systems is seeking cloud specialist for The Cloud Center of Excellence (CCoE) which is building a scalable, secure, and cost-efficient multi-cloud foundation across Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), and Microsoft Azure. This role will play an integral part roles enable seamless collaboration across architecture, engineering, data, and security teams—driving modernization, cost optimization, and compliance through CCoE best practices.

Key Responsibilities:

• Work collaboratively with architecture team in design, deployment, and governance of enterprise-scale cloud infrastructure.
• Implement automation frameworks, landing zones, and security controls.
• Champion FinOps initiatives to optimize spend and performance.
• Guide with CI/CD pipelines and infrastructure-as-code templates (Terraform, Ansible).
• Troubleshoot complex multi-cloud issues and guide operational excellence.
• Collaborate with architecture, security, and data teams to enforce compliance and resilience.

Required Qualifications:

• Bachelor’s or Master’s in Computer Science, IT, or related discipline.
• 7–10 years in cloud engineering, DevOps, or platform architecture roles.
• Deep experience in GCP and OCI; exposure to Azure preferred.
• Proficiency in Terraform, Kubernetes, and CI/CD frameworks.
• Strong documentation, troubleshooting, and mentorship skills.

• Preferred certifications: Google Professional Cloud Architect OR OCI Architect Professional OR Azure Solutions Architect Expert.

  
  

Soft Skills:

• Strong troubleshooting and analytical mindset
• Clear verbal and written communication
• Team player with ability to work independently and under pressure
• Strong documentation and customer-facing collaboration skills

Why Join Us?

• Be part of a mission-driven organization serving over 65 hospitals and clinics
• Contribute to high-impact interoperability and modernization initiatives
• Work with next-generation platforms 
• Grow within a high-performing integration and data engineering team