在线云计算访问教授

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.
Opportunity:
DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.

• Courses meet once or twice a week for eight weeks.

• Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.

• Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.

• Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.

• All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction.

• As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:

• Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.

• Organizes, prepares, and regularly revises and update all course materials.

• Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.

• Models effective oral and written communications that engage the students, provide clarity, and improve student learning.

• Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.

• Ensures that the content and level of material included on exams correspond to the course terminal objectives.

• Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students.

• Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.

• Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.

• Completes other duties as assigned.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
· A doctorate in Cloud Computing, Computer Science, Information Systems, Information Technology, or a closely related field is required, with at least 18 graduate credit hours in cloud computing, distributed systems, networking, cybersecurity, or a related computing discipline.
◦ Applicants must upload unofficial graduate-level transcripts with their application. ◦ Degrees must be 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 determined to hold equivalent accreditation.

• Three to five years of applied professional experience in cloud computing, distributed infrastructure, virtualization, or cloud-native technologies.

• Demonstrated experience with cloud architecture and cloud-enabled software development, including infrastructure provisioning, containerization, and deployment of applications within cloud platforms.

• Industry-recognized certifications or professional credentials relevant to cloud computing, cloud architecture, infrastructure engineering, or DevOps practices.

• Strong subject matter expertise in cloud technologies, combined with effective communication skills and the 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.

• Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.

• Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

Preferred Qualifications:

• Industry certifications in cloud platforms or cloud architecture (e.g., AWS, Microsoft Azure, Google Cloud, or equivalent industry-recognized credentials).

• Experience with cloud-native development practices, including containerization, microservices architecture, serverless computing, and orchestration technologies.

• Experience implementing DevSecOps frameworks, including continuous integration, continuous delivery pipelines, infrastructure as code, and automated security practices.

• Experience with hybrid and multi-cloud environments, including workload migration, cloud cost management, and cloud governance.

• Experience with programmatic or regional accreditation processes, including outcomes assessment, curriculum mapping, and continuous improvement initiatives.

• Active membership or engagement in professional technology or cloud-related organizations to maintain current industry knowledge.

• Experience integrating cloud-based laboratories, virtualized environments, or platform-based learning environments into post-secondary instruction to support hands-on learning.

• Two to five years of teaching experience at the post-secondary level, preferably in cloud computing, networking, systems administration, cybersecurity, or software development.

Pay:
Visiting Professor pay is based on level, credit hours taught per 8-week session, and location.

• Pay may vary in most states from $1500-$2700 per 8-week session.

• Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.

For Visiting Professor roles, we accept applications on an ongoing basis. DeVry University offers benefit options for Visiting Professors, including:

• 401(k) and Roth Plan

• Paid Tuition Program

• Remote and Flex Work Options

• Paid Sick Time

• Technology Stipend

We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.
Originally posted on Himalayas