Adjunct Associate Faculty, 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 to pursue greater human understanding, pioneering 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 twenty 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 Associate for a graduate-level course in Cloud Computing . An Associate is a faculty line junior to a Lecturer who provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

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

Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.; Evaluate, grade student work and assessments as requested by the course Lecturer.; Monitor and address student concerns and inquiries.

Requirements

Graduate degree 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