Adjunct Lecturer, Cloud Computing (On-Campus, Fall '26)

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

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.

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.

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.

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

Nice to have

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