Remote Azure Cloud Engineer for AI & Security

Lee Health; United States; On-site; USD 78,000 - 102,000; Full time

Job summary

Lee Health is seeking a Cloud Engineer to design, build, and maintain secure, scalable cloud systems powering our digital and AI transformation. You will architect and manage cloud infrastructure across private, public, and hybrid environments, enabling data management, automation, and application deployment.

Collaborating with IT, AI, and data science teams, youll drive AI/ML experimentation and production deployment while upholding HIPAA security and regulatory compliance.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field required.
• Masters degree in Computer Science, Machine Learning, or related discipline preferred.
• 2+ years designing, building, and supporting private or hybrid cloud environments.
• Proven experience with DevOps and automation (IaC, CI/CD, scripting in PowerShell, Python, or Shell).
• Strong grasp of cloud security, IAM, networking, and monitoring tools.
• Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts.
• Experience supporting AI/ML model deployment, fine-tuning, or integration is a plus.
• Familiarity with healthcare data standards (HIPAA, HL7, FHIR) preferred.

Responsibilities

• Design & Build: Develop scalable, secure, and cost-effective cloud architectures using AWS, Azure, or GCP.
• Migrate & Modernize: Lead cloud migration projects for data, systems, and applications while ensuring minimal disruption.
• Automate & Optimize: Implement Infrastructure-as-Code (IaC), automate deployment pipelines, and streamline configuration management.
• Innovate with AI: Partner with data science and AI teams to develop infrastructure for AI/ML experimentation and production deployment.
• Ensure Compliance & Security: Maintain adherence to data privacy standards, IAM, encryption, and regulatory compliance (HIPAA, HITRUST).
• Monitor & Improve: Oversee cloud utilization, troubleshoot performance issues, and develop disaster recovery strategies.
• Collaborate & Lead: Act as a bridge between development and infrastructure teams, fostering a DevSecOps culture and continuous improvement mindset.

Skills

DevOps

IaC

CI/CD

PowerShell

Python

Shell scripting

Cloud security

IAM

Monitoring tools

ML frameworks

Education

Bachelor's in CS/Engineering

Master's in CS/ML

Job description

Lee Health is seeking a Cloud Engineer to design, build, and maintain secure, scalable cloud systems powering our digital and AI transformation. You will architect and manage cloud infrastructure across private, public, and hybrid environments, enabling data management, automation, and application deployment.

Collaborating with IT, AI, and data science teams, youll drive AI/ML experimentation and production deployment while upholding HIPAA security and regulatory compliance.