"Cloud-Based Content Developer, School of Technology and Computing (Part-Time)"

Job Description

Job Summary: The Cloud-Based Content Developer is responsible for developing and enhancing courses within the School of Technology and Computing (STC) by integrating cloud computing, AI tools, and industry-recognized certifications. This role focuses on supporting student success and ensuring a high-quality learning experience through continuous curriculum improvement and the incorporation of emerging technologies. The developer will actively refine course content with an emphasis on hands-on skills and real-world programming environments.

Essential Duties and Responsibilities:

• Evaluate the current computing environments and technology infrastructure used across Computer Science courses, with a focus on cloud computing and AI integration.
• Research and identify emerging technologies and computing environments to ensure course content remains current and industry-relevant.
• Review Computer Science courses for alignment with industry certifications and recommend appropriate certifications to integrate into the curriculum.
• Continuously monitor student performance and feedback to assess the effectiveness of course content and identify opportunities for improvement.
• Promote and support student engagement and success through the development and implementation of enhanced, industry-informed course materials.
• Instruct at least one updated course to pilot and validate improvements in a real-world teaching environment. Teaching will be paid out of compensation.

Requirements

Minimum Qualifications:

• Master's Degree in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
• Proficiency in programming languages such as Python, JavaScript, Java, Go, etc.
• Experience with full-stack development using MERN (MongoDB, Express.js, React/React Native, Node.js) stacks.
• Strong knowledge of SQL, NoSQL databases, and data pipelines.
• Experience with version control systems, particularly Git and platforms like GitHub.
• Hands-on experience with cloud platforms, including GitHub Codespaces, AWS, Azure, or GCP.
• Applied experience in AI/ML frameworks such as TensorFlow, Keras, or PyTorch, including diverse LLMs.
• Familiarity with data science tools (e.g., pandas, scikit-learn, Jupyter Notebooks).
• Strong analytical and problem-solving skills in security-related environments.
• A minimum of one year of Teaching Assistant experience.
• A minimum of one year of demonstrated experience with Brightspace LMS or equivalent (e.g., Canvas, Blackboard).
• Excellent communication and documentation skills, including the ability to develop instructional materials and project-based assessments.
• Ability to map course content to industry certifications (e.g., AWS Cloud Practitioner, Azure AI Engineer, Google Data Engineer).
• Willingness to continuously learn and adopt emerging technologies.

Preferred Qualifications:

• A doctoral degree from an accredited university in computer science or a closely related discipline.
• An undergraduate degree in STEM fields.
• Experience supporting student clubs, research groups, or meetups.
• A minimum of two years of software industry experience.
• Ability to address student academic-related issues and concerns in support of retention and student success.
• Demonstrate sensitivity and cultural awareness to diverse students, faculty, staff, and external communities.
• Relevant industry certifications.
• Knowledge of MLOps or deploying AI models in production environments.
• Practical experience with Large Language Models (LLMs) such as OpenAI, Claude, or LLaMA.
• Understanding of Retrieval-Augmented Generation (RAG) architectures and applications.
• Experience with cybersecurity frameworks (e.g., NIST, ISO 27001).
• Familiarity with risk assessment, vulnerability management, or incident response.
• Understanding of network security, encryption protocols, and secure coding practices.

Additional Information

Physical Demands: An employee must meet the physical demands described here to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. While performing the duties of this job, the employee is frequently required to sit, talk, hear, and perform repetitive motions of the hands or wrists. The employee is occasionally required to stand, walk, grasp or handle, stoop or bend, and reach.

Working Conditions: The working conditions described here represent those an employee encounters while performing this job's essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. This is a part-time (20 hours/week), hybrid position. On-campus work for two days a week is required. Some evening and weekend hours may be required in this position.

Salary information: $50,000/year

Application Instructions: CityU of Seattle only accepts application materials through this online application process. Please submit a complete application to be considered for this position. A complete application includes: Completed Electronic Application Form, Current Resume, Cover Letter. Once you have created a profile, please remember to record your password. Responses will be sent to your Interview Exchange account if you use the 'Help Desk' feature. A hiring manager will contact candidates with qualifications and experience most aligned with current needs. Once the position is filled, you will see a status update in your account profile. If you encounter technical problems while applying for a position, please use the 'Help Desk' feature in your Interview Exchange account to submit the issue to technical support. For non-technical issues or questions, please email employment@cityu.edu. City University of Seattle is an equal opportunity employer and is continuously working to build a diverse faculty and staff. City University strongly encourages inquiries from all qualified individuals interested in becoming part of the CityU team, including women, native & aboriginal peoples, persons with disabilities, and members of visible minorities.

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