Lee Memorial Health System

Cloud Engineer - Azure

Lee Memorial Health System • $78K — $101K *
Fort Myers, FL 33908Hybrid
Information Technology
Less than 5 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or Engineering required
  • Master's degree in Machine Learning preferred
  • 2+ years experience with cloud environments
  • Experience with DevOps and automation tools
  • Knowledge of cloud security and IAM standards
  • Familiarity with machine learning frameworks like TensorFlow or PyTorch
  • Experience with healthcare data standards like HIPAA preferred

Responsibilities

  • Design and build scalable cloud architectures
  • Lead cloud migration projects with minimal disruption
  • Implement Infrastructure-as-Code for automation
  • Collaborate with AI teams for ML project infrastructure
  • Ensure compliance with data privacy regulations
  • Monitor cloud performance and troubleshoot issues
  • Foster a DevSecOps culture within teams

Benefits

  • Work remotely within Florida
  • Be part of innovative healthcare technology
  • Engage in continuous learning and development
  • Collaborate with a recognized health system
  • Impact patient care through technological advancements
Full Job Description
Location: Remote - Florida

Department: IS Information Technology Svcs

Work Type: Full Time

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

Minimum to Midpoint Pay Rate: $78,457.60 - 101,982.40 / Annual

What You'll 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.
Qualifications

Education:

  • Bachelor's degree in Computer Science, Engineering, or related field required.
  • Master's 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

About Lee Memorial Health System

Lee Memorial Health System is a non-profit healthcare organization that provides a range of medical services to patients in Southwest Florida. The organization operates several hospitals, outpatient centers, and clinics, and offers a variety of medical specialties, including cardiology, oncology, neurology, and pediatrics. Lee Memorial Health System was founded in 1916 and is headquartered in Fort Myers, Florida.
Learn more about Lee Memorial Health System
Size
13,000 employees
Industry
Healthcare
* Ladders Estimates

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