Adjunct Associate Faculty, Cloud Computing (On-Campus, Spring '26) at Columbia University

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Computing, Distributed Computing, UNIX, Shell Programming, Linux, Cloud Virtualization, Storage Systems, Google Cloud Platform, Amazon Web Services, Microsoft Azure, IBM Cloud, Python, University Teaching, Apache Spark, Kubernetes

Industry

Higher Education

Description

Company Description 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 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. Job Description 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. 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. Qualifications 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 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 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 Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Responsibilities

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