Adjunct Instructor in Programming for Systems Automation & Data Workflows

• 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.

Do you have experience in University teaching experience?, Do you have a Master's degree?, * Required:

• Master's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a closely related field
• Minimum 3 years of professional experience in programming for automation, scripting, data processing, or enterprise systems integration
• Demonstrated proficiency in programming languages commonly used for automation and data workflows (e.g., Python, PowerShell, Bash, JavaScript)
• Experience designing automation scripts, APIs, or data pipeline components within enterprise environments
• 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, Software Engineering, Information Systems, Data Engineering, or related field
• 5+ years of experience in software development, automation engineering, data engineering, or platform engineering leadership
• Professional experience as a Software Engineer, Automation Engineer, Data Engineer, DevOps Engineer, or Systems Integration Architect
• Experience working with workflow orchestration and data pipeline tools (e.g., Airflow, Prefect, Azure Data Factory, AWS Step Functions)
• Industry certifications such as AWS Developer Associate, Azure Developer Associate, Certified Kubernetes Application Developer (CKAD), or equivalent
• 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)