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Computer Science Teaching Applications Programmer/Analyst

University of Toronto

University of Toronto

Software Engineering, IT
Toronto, ON, Canada
Posted on Jan 14, 2025

Computer Science Teaching Applications Programmer/Analyst

Date Posted: 01/13/2025
Req ID: 41299
Faculty/Division: Faculty of Arts & Science
Department: Dept of Computer Science
Campus: St. George (Downtown Toronto)
Position Number: 00049483

Description:

About us:

The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.

We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

Established in 1964, the Department of Computer Science is ranked among the top computer science departments in the world. Our faculty have been presented with a wide variety of honours and awards over the years, including two Turing Awards, and many other national and international honours. We provide diverse programs and research opportunities while consistently producing high-impact research that is among the most highly cited in computer science.

Your opportunity:

Under the leadership of and in close collaboration with the Computer Science Teaching Applications Program Lead, you will develop and support custom software applications for the teaching of Computer Science and Data Science. This is an opportunity to work on and develop exciting new applications that advance the art of Computer Science and Data Science teaching, in collaboration with award-winning professors in a world-leading Computer Science department. Your commitment and demonstrated ability to learn continually, and your high comfort level with software programming in multiple computer languages, will enable you to flourish in a highly dynamic environment focused on advancing the state of the art in Computer Science teaching.

Your responsibilities will include:

  • Assessing and determining feasibility of programming requests and requirements
  • Troubleshooting and resolving technical issues
  • Developing technical application implementation plans
  • Writing complex technical code
  • Designing, testing, and modifying programming code
  • Consulting with clients regarding the development of project scope and resources
  • Creating complex and technical documentation and user support guides
  • Serving as a resource on specific issues to a group of specialists

Essential Qualifications:

  • Bachelor's Degree in Computer Science or Computer Engineering or acceptable equivalent combination of education and experience
  • Four years of related experience in developing, maintaining and trouble-shooting Computer Science software tools and supporting users in their use
  • Demonstrated experience and ability to program in Python, Ruby, Javascript, and Unix/Linux shell
  • Experience writing and troubleshooting Python and Ruby 'packages'
  • Demonstrated experience and ability in building application software using web frameworks, and troubleshooting web applications
  • Solid working knowledge of Linux, and famliarity with MacOS and Microsoft Windows
  • Demonstrated ability to install and manage software packages on Linux, Windows and MacOS systems, including installation from source
  • Demonstrated experience in software team collaboration using Scrum methodology, and demonstrated experience in the use of Git and GitHub
  • Excellent time management, prioritization and organizational skills, including the ability to prioritize effectively when working with multiple tasks and projects
  • Strong analytical and problem-solving skills, demonstrating initiative and creativity
  • Demonstrated interpersonal skills under pressure, including a keen ability and interest in helping students and faculty, and unfailing good judgment, discretion and tact
  • Demonstrated flexibility in working with changing demands
  • Ability to communicate effectively and accurately, both orally and in writing, to a diverse group of clients, including the ability to communicate technical concepts to persons with limited technical backgrounds, and to translate/interpret accurately into technical terms requirements and processes originally conveyed in non-technical terms
  • Ability to work effectively both independently when necessary and as an effective member of a team, at times in a project leadership capacity
  • Ability to learn continually 'on-the-job', on own initiative, often without instructors, courses, texts, or other formal educational resources, to keep abreast of often rapid changes in requirements, software and technology in a highly dynamic leading Computer Science department


Assets (Nonessential):

  • Experience writing and troubleshooting web applications built in Ruby on Rails, Django, and Flask
  • Graduate degree and/or experience in performing graduate work in Computer Science or Computer Engineering
  • Experience in teaching, supporting and/or facilitating Computer Science or Computer Engineering courses at the post-secondary level


To be successful in this role you will be:

  • Achievement oriented
  • Motivated self-learner
  • Problem solver
  • Resourceful
  • Responsible
  • Team player

This role is currently eligible for a hybrid work arrangement, pursuant to the University policies and guidelines, including but not limited to the University of Toronto's Alternative Work Arrangements Guideline.

Closing Date: 01/22/2025, 11:59PM ET
Employee Group: USW
Appointment Type: Budget - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 12 -- $79,874. with an annual step progression to a maximum of $102,147. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Information Technology (IT)

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.


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