Cloud Engineer

Summary

Lee Health is seeking an innovative Cloud Engineer to design, build, and maintain secure, scalable, and high‑performing cloud systems that power our digital and AI transformation. In this role, you’ll architect and manage cloud infrastructure across private, public, and hybrid environments, enabling advanced data management, automation, and application deployment. Collaborating with IT, AI, and data science teams, you’ll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing initiatives.

If you’re passionate about driving innovation through cloud engineering and emerging technologies, this is an exceptional opportunity to shape the next generation of healthcare technology.

• 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 Dev Sec Ops  culture and continuous improvement mindset.

• Bachelor’s degree in Computer Science, Engineering, or related field required.
• Master’s degree in Computer Science, Machine Learning, or related discipline preferred.

• 2+ years designing, building, and supporting private or hybrid cloud environments.
• Proven experience with Dev Ops and automation (IaC, CI/CD, scripting in Power Shell, Python, or Shell).
• Strong grasp of cloud security, IAM, networking, and monitoring tools.
• Working knowledge of machine learning frameworks (Tensor Flow, 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.

• Microsoft Certified Azure AI Fundamentals or AI Engineer Associate
• AWS Certified Machine Learning Engineer
• Microsoft Azure Security Certification

• HITRUST Practitioner
• NIST AI RMF Architect
• Artificial Intelligence Engineer Certification

Location: Remote – Florida

Department: IS Information Technology Svcs

Work Type: Full Time

Shift: Shift 1: 8:00 AM to 4:30 PM

Pay Rate: $37.72 – $49.03 per hour

At Lee Health, innovation meets compassion. As we advance our journey toward smarter, data‑driven healthcare, you’ll have the opportunity to work with emerging technologies, contribute to transformative AI initiatives, and make a lasting impact on patient care. Join a health system recognized for excellence, collaboration, and continuous learning.