Cloud Engineer - Azure

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, 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 YOU'LL DO

• Design, build, and maintain secure, scalable cloud infrastructure across private, public, and hybrid environments
• Support automation for source control, deployment pipelines, and configuration management
• Oversee cloud migration, usage monitoring, troubleshooting, and compliance assurance
• Serve as a liaison between infrastructure and development teams to deliver resilient cloud solutions
• Partner with AI team members to build environments suited for rapid prototyping and AI-driven projects
• Develop and implement disaster recovery strategies to ensure uninterrupted service

WHAT YOU'LL NEED

Education

• Bachelor's degree in Computer Science, Engineering, or related field, or 3+ years of relevant experience in lieu of degree

Experience

• 2+ years building and supporting private and hybrid cloud environments
• 2+ years in a customer-facing technical specialist role covering cloud concepts, design, and solutions
• Experience building highly automated cloud infrastructure using infrastructure as code (IaC)
• Strong scripting/programming skills in Shell, PowerShell, or Python
• Working knowledge of IAM, network segmentation, data encryption, logging, monitoring, and cloud-native security controls
• Familiarity with DevOps/DevSecOps practices and core computer science fundamentals (data structures, algorithms)
• Exposure to frameworks like TensorFlow and deep learning concepts

Why Join Lee Health

At Lee Health, innovation meets compassion. As we advance our journey toward smarter, data-driven healthcare, youll 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.