Software development jobs in Canada

Explore software development jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 27, 2026

Hiring at a glance

View jobs

Open jobs: 3,997
Employers: 1,471

Advertised starting pay

Average starting payCAD / year: $115,167Across 455 listings
Average starting payUSD / year: $140,507Across 113 listings
Average starting payCAD / hour: $54.20Across 65 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 10%404 listings
Hybrid: 41%1,626 listings
On-site: 48%1,929 listings

Not specified: 1% (38 listings)

Employers hiring include Amazon (119), Genetec (65), RBC (42).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Canada

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Added 1 month ago
Machine Learning Software Engineer II
Royal Bank of Canada
Toronto, ON · Vancouver, BC
Full-time
RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the…
Added 2 months ago
Senior Software Developer C++
Sopra Steria
Montreal, QC
From $85,000 CAD / year
Full-time
CS Group Canada, a subsidiary of CS Group (part of the Sopra Steria Group), is a leader in the development and certification of safety-critical systems in the aerospace, electric, and…
Added 1 month ago
Staff Software Engineer
Dialpad
Vancouver, BC
Added 2 months ago
Senior Backend Engineer - Ruby on Rails
MoxiWorks
Vancouver, BC
Added 2 months ago
Principal Software Development Engineer - Applied AI
Wagepoint
Remote, Canada
$200,000 to $220,000 CAD / year
Full-time · Remote
…doing the best work of their careers, building great payroll software for small businesses across…
Added 2 months ago
Software Quality Assurance Analyst (GenAI-Enabled)
Wolters Kluwer
Sherbrooke, QC · CAN - Sherbrooke
Full-time
Added 18 days ago
Software AI Developer Senior
Intact FC
Toronto, ON
Full-time
Added 1 month ago
Machine Learning Software Engineer
Royal Bank of Canada
Toronto, ON · Vancouver, BC
Full-time
RBC Borealis is looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial…
Added 1 month ago
Senior Software Developer - Real-Time Processing Platform
Arctic Wolf
Waterloo, ON
$75,000 to $246,000 CAD / year
Full-time
Added 2 months ago
Software Engineer
Meow
Remote, Canada
Full-time · Remote
We’re hiring a Software Engineer who wants real ownership in a fast-moving startup environment.
Added 2 months ago
Machine Learning Software Engineer
RBC
Toronto, ON · Vancouver, BC
Full-time
RBC Borealis is looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial…
Added 2 months ago
Machine Learning Software Engineer II
RBC
Toronto, ON · Vancouver, BC
Full-time
RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the…
Added 1 month ago
Principal Software Developer (Forma Data, File+)
Autodesk
Quebec, QC · Vancouver, BC · ON · NB · NS · PE · MB · AB · SK · NL · AMER - Canada - British Columbia - Vancouver - Bentall Centre
Full-time
26WD100016, Principal Software Developer (Forma Data, File+)
Added 2 months ago
Senior Software Developer, API Platform
Miovision
Remote, Canada
$150,000 to $170,000 CAD / year
Full-time · Remote
Added 2 months ago
Salesforce Commerce Cloud Developer
Eminence Organic Skin Care
Vancouver, BC
Full-time
Added 15 days ago
Software Test Engineer
Actalent
Brossard, QC
Contract
Added 1 month ago
Senior Software Engineer
AltaML
Calgary, AB
$130,000 to $150,000 CAD / year
Full-time
The Senior Software Engineer leads implementation of complex features and epics, owns technical design end to end, and multiplies the pod's output - both by mentoring other engineers and by…
Added 3 months ago
Software Developer - Vision Systems
Pack-Smart Inc.
Concord, Ontario
$100,000 to $130,000 CAD / year
Full-time
Added 3 months ago
Software Engineer, Pricing
Lyft
Toronto, Ontario
Full-time
Added 3 months ago
Senior Software Engineer
Epoch
Canada
Full-time
Added 3 months ago
Senior Software Engineer (Back-end Focus)
LodgeLink
Calgary, Alberta
Full-time
LodgeLink is inviting Senior Software Engineers in Calgary to join our team to be part of the creation of the future of workforce travel. We are looking for talented engineers with a…
Added 4 months ago
Co-op/Intern Software Developer, Core Algorithms (Life Sciences)
Kinaxis
Ottawa, Ontario
Internship
Added 3 months ago
Staff Software Developer
PENN Interactive
Canada
Full-time
Added 3 months ago
Senior/Team Lead Full Stack developer (Toronto, hybrid)
TechMagic
Toronto, Ontario
Full-time
5+ years of experience in full-stack development
Added 2 months ago
Tech Lead Software Engineer
Nubank
Remote, Canada
Full-time · Remote

Wolters Kluwer

Software Quality Assurance Analyst (GenAI-Enabled)

Sherbrooke, QC, Canada
CAN - Sherbrooke, Canada

Job type: Full-time
Posting language: English · French
Posted: Jul 27, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

ENGLISH VERSION

Job Posting: Software Quality Assurance Analyst (GenAI-Enabled)

Role Summary

We are seeking a highly motivated Software Quality Assurance (SQA) Analyst with a strong Generative AI (GenAI) and automation mindset to join our Quality Engineering team.

In this role, you will ensure the delivery of high-quality software by combining traditional QA practices with AI-augmented testing techniques, helping drive the transformation toward Agentic Quality Engineering and intelligent test automation.

You will collaborate closely with Product, Development, and DevOps teams to design, execute, and continuously improve testing strategies across the SDLC.

Key Responsibilities

(Aligned with your internal QA standards and role expectations)

Core QA Responsibilities

Analyze requirements and user stories to define comprehensive test scenarios and coverage strategies
Design, execute, and maintain manual and automated test cases across functional, regression, integration, and system testing
Perform exploratory, negative, and ad-hoc testing to uncover edge cases and defects
Document, track, and manage defects through the full lifecycle using QA tools (e.g., Azure DevOps, Jira, TestRail)
Collaborate with developers to reproduce issues and validate fixes
Contribute to test planning, estimation, and release validation activities

GenAI & Intelligent QA Responsibilities

Leverage GenAI tools (e.g., GitHub Copilot, AI assistants) to accelerate:
Test case generation
Test data creation
Automation script development
Use AI to identify automation candidates and optimize regression suites
Validate and evaluate AI-generated outputs and test artifacts for accuracy and completeness
Contribute to AI-driven testing strategies, including:
Self-healing test automation
Risk-based test prioritization
Intelligent defect prediction (where applicable)
Continuously explore and adopt emerging AI tools to improve QA efficiency and effectiveness
Use Generative AI tools to accelerate test design, test documentation, defect analysis, and root cause investigation
Create effective prompts and workflows to generate high-quality test cases, test scripts, and test data
Contribute to the evaluation and selection of emerging AI tools and technologies for Quality Engineering

Required Qualifications

Bachelor’s degree in Computer Science or related field, or equivalent experience
3–5 years of experience in software QA in Agile environments
Strong experience in:
Test case design and execution
Functional and regression testing
Defect lifecycle management
Hands-on experience with test management and defect tracking tools (e.g., Azure DevOps, Jira, TestRail)
Solid understanding of SDLC, STLC, and release processes
Strong analytical, problem-solving, and communication skills
Familiarity with prompt engineering techniques for test generation and validation
Understanding of AI agent concepts, workflows, and practical applications within Quality Engineering
Proficiency in both French and English, spoken and written
Ability to work in a hybrid environment, with some in-office presence in Sherbrooke

GenAI & Automation Skillset (Must-Have)

Practical experience using GenAI tools (e.g., GitHub Copilot, AI assistants) in QA workflows
Ability to integrate AI into:
Test design and execution
Automation workflows
Working knowledge of automation frameworks (e.g., Selenium, Playwright, Cypress)
Understanding of API testing and data validation (SQL preferred)
Ability to stay current with evolving AI technologies and apply them in day-to-day testing

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you - not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Read the full bilingual original

FRENCH VERSION

Offre d’emploi : Analyste en assurance qualité logicielle (AQL) – IA générative

Résumé du poste

Nous sommes à la recherche d’un(e) analyste en assurance qualité logicielle (AQL) hautement motivé(e), possédant une forte orientation vers l’intelligence artificielle générative (IA générative) et l’automatisation, afin de se joindre à notre équipe d’ingénierie de la qualité.

Dans ce rôle, vous contribuerez à la livraison de logiciels de haute qualité en combinant les pratiques traditionnelles d’assurance qualité avec des techniques de test augmentées par l’IA, contribuant ainsi à l’évolution vers une ingénierie de la qualité orientée agents (Agentic Quality Engineering) et une automatisation intelligente des tests.

Vous collaborerez étroitement avec les équipes Produit, Développement et DevOps afin de concevoir, exécuter et améliorer en continu les stratégies de test tout au long du cycle de développement logiciel (SDLC).

Principales responsabilités

(Alignées avec les standards QA internes et les attentes du rôle)

Responsabilités principales en assurance qualité

Analyser les exigences et les récits utilisateurs afin de définir des scénarios de test complets et des stratégies de couverture.

Concevoir, exécuter et maintenir des cas de test manuels et automatisés pour les tests fonctionnels, de régression, d’intégration et système.

Réaliser des tests exploratoires, négatifs et ad hoc afin d’identifier les cas limites et les anomalies.

Documenter, suivre et gérer les anomalies tout au long de leur cycle de vie à l’aide d’outils QA (p. ex. Azure DevOps, Jira, TestRail).

Collaborer avec les développeurs afin de reproduire les problèmes et valider les correctifs.

Contribuer à la planification des tests, à l’estimation des efforts et aux activités de validation des versions.

Responsabilités liées à l’IA générative et à l’assurance qualité intelligente

Utiliser des outils d’IA générative (p. ex. GitHub Copilot, assistants IA) pour accélérer :

la génération de cas de test

la création de données de test

le développement de scripts d’automatisation

Utiliser l’IA pour identifier les candidats à l’automatisation et optimiser les suites de tests de régression.

Valider et évaluer les résultats et artefacts générés par l’IA afin d’en assurer l’exactitude et l’exhaustivité.

Contribuer à des stratégies de test pilotées par l’IA, notamment :

l’automatisation auto-réparatrice (self-healing)

la priorisation des tests basée sur le risque

la prédiction intelligente des anomalies (le cas échéant)

Explorer et adopter en continu les outils d’IA émergents afin d’améliorer l’efficacité et la qualité des activités QA.

Utiliser l’IA générative pour accélérer la conception des tests, la documentation, l’analyse des anomalies et l’analyse des causes racines.

Créer des prompts et des flux de travail efficaces afin de générer des cas de test, scripts de test et données de test de haute qualité.

Contribuer à l’évaluation et à la sélection des outils et technologies d’IA émergents en ingénierie de la qualité.

Qualifications requises

Baccalauréat en informatique ou domaine connexe, ou expérience équivalente.

3 à 5 ans d’expérience en assurance qualité logicielle dans un environnement Agile.

Solide expérience dans :

la conception et l’exécution de cas de test

les tests fonctionnels et de régression

la gestion du cycle de vie des anomalies

Expérience pratique des outils de gestion de tests et de suivi des anomalies (p. ex. Azure DevOps, Jira, TestRail).

Bonne compréhension du SDLC, du STLC et des processus de livraison logicielle.

Excellentes compétences analytiques, en résolution de problèmes et en communication.

Familiarité avec les techniques de prompt engineering pour la génération et la validation de tests.

Compréhension des concepts d’agents IA, de leurs flux de travail et de leurs applications en ingénierie de la qualité.

Maîtrise du français et de l’anglais, tant à l’oral qu’à l’écrit.

Capacité à travailler en mode hybride, incluant une présence au bureau à Sherbrooke

Compétences en IA générative et automatisation (essentielles)

Expérience pratique des outils d’IA générative (p. ex. GitHub Copilot, assistants IA) dans les workflows QA.

Capacité à intégrer l’IA dans :

la conception et l’exécution des tests

les flux d’automatisation

Bonne connaissance des frameworks d’automatisation (p. ex. Selenium, Playwright, Cypress).

Compréhension des tests d’API et de la validation des données (SQL de préférence).

Capacité à rester à jour sur les technologies d’IA et à les appliquer dans les activités quotidiennes de test.

ENGLISH VERSION

Job Posting: Software Quality Assurance Analyst (GenAI-Enabled)

Role Summary

We are seeking a highly motivated Software Quality Assurance (SQA) Analyst with a strong Generative AI (GenAI) and automation mindset to join our Quality Engineering team.

You will collaborate closely with Product, Development, and DevOps teams to design, execute, and continuously improve testing strategies across the SDLC.

Key Responsibilities

(Aligned with your internal QA standards and role expectations)

Core QA Responsibilities

Analyze requirements and user stories to define comprehensive test scenarios and coverage strategies

Design, execute, and maintain manual and automated test cases across functional, regression, integration, and system testing

Perform exploratory, negative, and ad-hoc testing to uncover edge cases and defects

Document, track, and manage defects through the full lifecycle using QA tools (e.g., Azure DevOps, Jira, TestRail)

Collaborate with developers to reproduce issues and validate fixes

Contribute to test planning, estimation, and release validation activities

GenAI & Intelligent QA Responsibilities

Leverage GenAI tools (e.g., GitHub Copilot, AI assistants) to accelerate:

Test case generation

Test data creation

Automation script development

Use AI to identify automation candidates and optimize regression suites

Validate and evaluate AI-generated outputs and test artifacts for accuracy and completeness

Contribute to AI-driven testing strategies, including:

Self-healing test automation

Risk-based test prioritization

Intelligent defect prediction (where applicable)

Continuously explore and adopt emerging AI tools to improve QA efficiency and effectiveness

Use Generative AI tools to accelerate test design, test documentation, defect analysis, and root cause investigation

Create effective prompts and workflows to generate high-quality test cases, test scripts, and test data

Contribute to the evaluation and selection of emerging AI tools and technologies for Quality Engineering

Required Qualifications

Bachelor’s degree in Computer Science or related field, or equivalent experience

3–5 years of experience in software QA in Agile environments

Strong experience in:

Test case design and execution

Functional and regression testing

Defect lifecycle management

Hands-on experience with test management and defect tracking tools (e.g., Azure DevOps, Jira, TestRail)

Solid understanding of SDLC, STLC, and release processes

Strong analytical, problem-solving, and communication skills

Familiarity with prompt engineering techniques for test generation and validation

Understanding of AI agent concepts, workflows, and practical applications within Quality Engineering

Proficiency in both French and English, spoken and written

Ability to work in a hybrid environment, with some in-office presence in Sherbrooke

GenAI & Automation Skillset (Must-Have)

Practical experience using GenAI tools (e.g., GitHub Copilot, AI assistants) in QA workflows

Ability to integrate AI into:

Test design and execution

Automation workflows

Working knowledge of automation frameworks (e.g., Selenium, Playwright, Cypress)

Understanding of API testing and data validation (SQL preferred)

Ability to stay current with evolving AI technologies and apply them in day-to-day testing

Our Interview Practices

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Apply About employer

More about this job

Responsibilities

The role involves designing and executing manual and automated test cases while integrating GenAI tools to accelerate test generation and script development. The analyst will collaborate with Product and DevOps teams to drive the transition toward Agentic Quality Engineering.

Requirements

Candidates need a Bachelor's degree in Computer Science and 3-5 years of software QA experience in Agile environments. Proficiency in both English and French, along with hands-on experience with GenAI tools and automation frameworks, is required.

Skills

Software Quality Assurance
Generative AI
Test Automation
Prompt Engineering
Agile Methodology
Functional Testing
Regression Testing
API Testing
SQL
Selenium
Playwright
Cypress
Azure DevOps
Jira
TestRail
SDLC

Visa sponsorship

Not detected in the job text

Keywords

GenAI
GitHub Copilot
Agentic Quality Engineering
Self-healing Automation
STLC
User Stories
Exploratory Testing
Defect Lifecycle Management
Root Cause Analysis
Risk-based Prioritization
Integration Testing
System Testing
AI Agents
Software Testing Life Cycle
Quality Engineering

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