Lee Health · 14 hours ago
Cloud Engineer
United States
Full-time
Remote
Entry, Mid Level
$78K/yr - $102K/yr
2+ years expLee 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.
CommunitiesHealth CareMedicalNon Profit
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
Qualification
Required
Bachelors degree in Computer Science, Engineering, or related field required
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
Microsoft Certified Azure AI Fundamentals or AI Engineer Associate
AWS Certified Machine Learning Engineer
Microsoft Azure Security Certification
Preferred
Masters degree in Computer Science, Machine Learning, or related discipline preferred
Familiarity with healthcare data standards (HIPAA, HL7, FHIR) preferred
HITRUST Practitioner, NIST AI RMF Architect, or Artificial Intelligence Engineer Certification
Company
Lee Health
Lee Health is a wooden building was the beginning of community health care in our area.
10001+ employees
H1B Sponsorship
Lee Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (1)
Funding
Current Stage
Late StageLeadership Team
Mark Roh
Chief Physician Executive and Vice President of Operations
Daniel O’Hair
Chief Physician Executive, Heart Institute
Recent News
Company data provided by crunchbase