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Adjunct Instructor in Enterprise Cloud Architecture & Scalable Systems Design

Brandeis University
United Statespart_timeVerifiedPosted 21 May 2026

About the role

Brandeis University’s Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 105 Enterprise Cloud Architecture & Scalable Systems Design for the Fall-1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management.

This course will aid students to explore architectural principles for designing scalable, resilient, and cost-effective enterprise systems. The course emphasizes cloud frameworks, distributed computing concepts, resource scaling, workload management, and architectural governance across diverse environments.

Core Course Responsibilities Summary

  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.

  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.

  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

  • Required:

    • Master’s degree in Computer Science, Information Systems, Cloud Computing, Systems Engineering, Enterprise Architecture, or a closely related field

    • Minimum 3 years of professional experience in enterprise cloud architecture, distributed systems design, scalable infrastructure, or cloud-based systems engineering

    • Demonstrated expertise in cloud platforms (e.g., AWS, Azure, Google Cloud) and architectural design for scalability, resilience, and cost optimization

    • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education

    • At least 1 year of teaching or training experience (preferably online/asynchronous)

    • Experience with online instruction

    • Excellent communication and teaching skills in an online learning environment.

  • Preferred:

    • Doctorate (PhD or DBA) in Computer Science, Information Systems, Cloud Computing, Systems Engineering, or related field

    • 5+ years of experience in enterprise architecture, cloud transformation leadership, or scalable systems strategy 

    • Professional experience as a Cloud Architect, Enterprise Architect, Solutions Architect, or Infrastructure Strategy Lead

    • Industry certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Professional Cloud Architect, TOGAF, or equivalent

    • Experience integrating governance, cost modeling, workload management, and architectural decision frameworks into graduate-level curriculum

    • Prior online teaching experience at the graduate level 

    • Knowledge of global learner personas and culturally responsive pedagogy

    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins 5/28/2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this position is $6573.15

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer

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Brandeis University

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