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DeVry University

Online Visiting Professor – Cloud Computing

DeVry University

. Teach undergraduate and graduate courses in cloud computing and related fields .

Posted 10/18/2026part-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in cloud computing and related technologies, with a strong focus on effective teaching methodologies and the integration of responsible AI practices. Possesses a commitment to continuous professional development and the ability to communicate complex concepts to diverse learners.

Highest-signal resume keywords
Doctorate In Cloud ComputingCloud ArchitectureCloud-Enabled Software DevelopmentIndustry-Recognized CertificationsEffective Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud ComputingDistributed SystemsNetworkingCybersecurityInfrastructure ProvisioningContainerizationCloud-Native TechnologiesData ProtectionIdentity And Access ManagementCloud Security Best Practices
Soft Skills
Effective Oral CommunicationEffective Written CommunicationAbility To Explain Complex Concepts
Tools & Technologies
Online TechnologiesCourse-Related SoftwareWebsitesEmailOnline Discussions
Certifications & Qualifications
Professional Credentials In Cloud ComputingCertifications In Cloud ArchitectureCertifications In Infrastructure EngineeringCertifications In DevOps Practices
Industry Keywords
Cloud TechnologiesResponsible AI PracticesRegulatory ConsiderationsAccreditation StandardsOngoing Professional Development

Tech Stack

Tools & technologies
CloudCyber SecurityDistributed Systems

About the role

Key responsibilities & impact
  • Teach undergraduate and graduate courses in cloud computing and related fields
  • Facilitate student learning in accordance with DeVry University requirements
  • Develop course syllabi and lesson plans aligned with course and programmatic objectives
  • Organize, prepare, regularly revise, and update course materials
  • Use online technologies and course-related software, including websites, email, and online discussions
  • Model effective oral and written communication
  • Publish course objectives, assignment and examination dates, and evaluation weightings
  • Ensure examinations align with terminal course objectives
  • Prepare and grade exams consistently and fairly
  • Provide timely feedback to students
  • Integrate responsible AI technologies into teaching and learning
  • Recognize, evaluate, and address appropriate and inappropriate student use of AI tools
  • Complete other duties as assigned

Requirements

What you’ll need
  • Doctorate in Cloud Computing, Computer Science, Information Systems, Information Technology, or a closely related field
  • At least 18 graduate credit hours in cloud computing, distributed systems, networking, cybersecurity, or a related computing discipline
  • Unofficial graduate-level transcripts must be uploaded with the application
  • Degree awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution with equivalent accreditation
  • Three to five years of applied professional experience in cloud computing, distributed infrastructure, virtualization, or cloud-native technologies
  • Experience with cloud architecture and cloud-enabled software development, including infrastructure provisioning, containerization, and cloud-platform application deployment
  • Industry-recognized certifications or professional credentials relevant to cloud computing, cloud architecture, infrastructure engineering, or DevOps practices
  • Strong subject matter expertise in cloud technologies
  • Effective communication skills and ability to explain complex technical concepts to diverse learners
  • Knowledge of secure and responsible cloud operations, including identity and access management, data protection, regulatory considerations, and cloud security best practices
  • Commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices
  • Additional requirements may apply based on state licensing, institutional policy, or accreditation standards

Benefits

Comp & perks
  • Comprehensive faculty training program
  • Ongoing faculty development activities
  • Blended face-to-face and technology-enhanced learning environment
  • Pay of $1500-$2700 per 8-week session in most states
  • Hourly pay of $22.00/hour or $23.50/hour in AZ, CA, IN, and PA