Cloud Engineer

Lee Health
Fort Myers, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Intermediate
Compensation
$ 102K

Job location

Remote
Fort Myers, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Computing Security
Cloud Engineering
Configuration Management
Continuous Integration
Information Engineering
DevOps
Disaster Recovery
Monitoring of Systems
Identity and Access Management
Python
Machine Learning
Performance Tuning
Powershell
TensorFlow
Software Deployment
Scripting (Bash/Python/Go/Ruby)
Cloud Platform System
PyTorch
Fast Healthcare Interoperability Resources
HybridCloud
Build Management
Infrastructure Automation Frameworks
Information Technology
Health Level Seven International
Data Management
Cloud Migration
Devsecops

Job description

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, youll architect and manage cloud infrastructure across private, public, and hybrid environmentsenabling advanced data management, automation, and application deployment. Collaborating with IT, AI, and data science teams, youll play a pivotal role in building and optimizing cloud environments for artificial intelligence, machine learning, and cognitive computing initiatives.

If youre passionate about driving innovation through cloud engineering and emerging technologies, this is an exceptional opportunity to shape the next generation of healthcare technology. What Youll Do

  • 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.

Requirements

  • Bachelors degree in Computer Science, Engineering, or related field required.
  • Masters degree in Computer Science, Machine Learning, or related discipline preferred.

Experience:

  • 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.

Certifications (one or more required):

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

Preferred Certifications:

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

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