Software Systems Development and Integration

University of Guelph; Guelph; On-site; CAD 30,000 - 39,000; Part time

Job summary

The University of Guelph School of Computer Science seeks Teaching Assistants for Winter 2027 CIS*2750: Software Systems Development and Integration. In-person duties support labs, grading, and student assistance under the supervision of the course instructor.

Applicants must be enrolled for Winter 2027, capable of in-person responsibilities, and prepared to participate in lab sessions, exams, and grading with adherence to rubrics and professional feedback to students.

Qualifications

• Must be enrolled as a student in Winter 2027 and able to complete in-person responsibilities.
• Proficient with command-line C development tools including gcc, gdb, and valgrind.
• Proficient in using Git, including creating and managing branches, merges and rebases, and CI pipelines.
• Must demonstrate strong verbal communication skills and ability to apply grading rubrics consistently.

Responsibilities

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Conducting Labs/Seminars
• Meetings
• Invigilating Exams
• Grading
• May include other duties (see notes)

Skills

Verbal communication

Explain technical concepts

Grading rubrics

Tools

gcc

gdb

valgrind

Git

CI pipelines

Job description

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA400697- Winter 2027-CIS*2750 Software Systems Development and Integration

Teaching Assistant Work Assignment

Type of Work Assignment and Bargaining Unit

GTA, Unit 1

Academic Unit

School of Computer Science

Semester(s) of Assignment(s)

Winter 2027

This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period

Yes

Course Number

CIS*2750

Course Name

Software Systems Development and Integration

Course Format

In-Person

Course Description

See Course Calendar

Other Course Description or Assignment Information

The total number of assignments is a low estimate of the number of available appointments. The final number may be higher and it will depend on class enrolment at the time of assignment.

100-150

Level of Appointment for GTA, GSA-1 UTA(s)

The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.

This Posting includes Multiple Work Assignments

No

Number of Available 0.25 (35 hour) Work Assignments

0

Number of Available 0.5 (70 hour) Work Assignments

0

Number of Available 0.75 (105 hour) Work Assignments

0

Number of Available Full 1.0 (140 hour) Work Assignments

1

Total Number (Load) of Assignment(s) Available

1

Duties and Responsibilities

Anticipated Duties and Responsibilities

Orientation-Training

Office Hours

Preparation

Student Consultation

Conducting Labs/Seminars

Meetings

Invigilating Exams

Grading

Other Duties (specify below)

Other Duties Described

• May be required to complete departmental TA training. Further information will be provided upon hiring.
• Must be available for: Scheduled lab hours throughout the semester, Weekly team meetings with the instructor and/or TA group, Online support duties such as moderating forums (as assigned), and Invigilation during midterm and final exams.NOTICE: The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.

Qualifications

Required Qualifications

• Must be enrolled as a student in Winter 2027 and able to complete in-person responsibilities.
• Proficient with command-line C development tools, including gcc, gdb, and valgrind.
• Proficient in using Git, including creating and managing branches, performing merges and rebases, and using Continuous Integration (CI) pipelines.
• Must demonstrate strong verbal communication skills, including the ability to explain technical concepts clearly, and the ability to apply and follow grading rubrics consistently in verbal assessment contexts.

Preferred Qualifications

• Prior TA experience supporting CIS*2750 or a similar systems-level programming course.
• Experience creating and running automated test harnesses in C or Python.
• Working knowledge of Python.
• Familiarity with unit testing frameworks (e.g., check, pytest).
• Experience with software integration tasks, especially involving C and Python interoperability.
• Demonstrated ability to provide respectful, professional feedback to students in both written and verbal formats.

Days Required and Wages

Days and Times Required

See duties and qualifications above, as well as WebAdvisor for lecture and lab days and times. Must be available to complete TA duties as required until the end of the work period (May 7th, 2027).

Period of the Work Assignment (Start Date and End Date)

January 7, 2027 to May 7, 2027

Other Posting Information

Application Deadline (All postings will automatically expire at 11:59 pm on this day)

Thursday, November 12, 2026

Hiring Contact Information

Christine Harris, Instructional Support Coordinator - [e-mail]

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required.

Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: [e-mail]).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.