The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.
This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications.
Responsibilities
Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.
Monitor and address student concerns and inquiries.
Evaluate and grade student work and assessments.
Conduct office hours.
Columbia University SPS operates under a scholar-practitioner faculty model, which
enables students to learn from faculty possessing outstanding academic training as well
as a record of accomplishment as practitioners in an applied industry setting.
Requirements
- Ph.D. in Computer Science, Software Engineering, or related field
Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming
Experience with the Linux operating system, cloud virtualization and storage systems
3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud)
Knowledge of Python programming language
Preferred Skills & Experience
University teaching experience
Experience with setting up and configuring Google Cloud Platform services
Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes
Please submit a resume inclusive of university teaching experience.
Columbia University is an Equal Opportunity/Affirmative Action employer.
All your information will be kept confidential according to EEO guidelines.
Salary Range: $11,000-$13,000 per semester length course