Quality Assurance Analyst, Signature

Portage CyberTech

. Integrate artificial intelligence into quality assurance practices to improve efficiency, automation, and test coverage.

Posted 9/16/2026full-timeGatineau • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in integrating artificial intelligence into quality assurance practices, with a strong focus on test automation, modern validation approaches, and continuous improvement in software development. Proficient in utilizing tools like Playwright and CI/CD pipelines to enhance software quality and reliability.

Highest-signal resume keywords

Test Automation Using PlaywrightQuality Engineering Best PracticesCI/CD Tools and DevOps PracticesGenerative Artificial Intelligence ApplicationsAPI Testing and Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Quality AssuranceTest AutomationAPI TestingContinuous Improvement PracticesValidation ApproachesGenerative Artificial IntelligenceSoftware EngineeringCross-Browser TestingApplication SecurityObservability Tools

Soft Skills

Effective Communication in EnglishCollaboration with Development Teams

Tools & Technologies

PlaywrightVisual Studio CodeGitHub EnterpriseTestRailSonarQubeJiraConfluenceSlackMicrosoft TeamsCI/CD Pipelines

Industry Keywords

Artificial IntelligenceQuality AssuranceSoftware DevelopmentDevOpsMicroservices Architecture

Tech Stack

Tools & technologies

GrafanaJMeterMicroservicesSelenium

About the role

Key responsibilities & impact

Integrate artificial intelligence into quality assurance practices to improve efficiency, automation, and test coverage.
Define and implement modern validation approaches to measure and maintain the quality, reliability, and evolution of software solutions.
Evaluate and adopt new tools and practices related to automation, AI, and continuous software development improvement.
Design test strategies for modern applications, including solutions using generative artificial intelligence technologies.
Collaborate with development teams to promote quality engineering best practices throughout the development lifecycle.

Requirements

What you’ll need

University or college degree in computer science, software engineering, software quality assurance, or a related field.
Relevant experience in software quality assurance, test automation, or software engineering.
Experience with the Playwright framework for test automation.
Strong understanding of modern QA, Quality Engineering, and continuous improvement practices.
Knowledge of development environments, APIs, CI/CD tools, and DevOps practices.
Strong interest in generative artificial intelligence and its application to software development.
Comfortable communicating in English, both verbally and in writing, in a professional environment.
GitHub Copilot, AI assistants, and GenAI (LLMs, AI agents).
Visual Studio Code and GitHub Enterprise.
Playwright, test automation, API testing, TestRail, and SonarQube.
CI/CD pipelines, DevOps practices, and integration with GitHub Enterprise.
Jira, Confluence, Slack, and Microsoft Teams.
Assets: cross-browser and multi-environment platforms (BrowserStack, Sauce Labs, or equivalent), Selenium, JMeter, observability tools (Datadog, Grafana, ELK), API/microservices/distributed systems architectures, application security, and validation of AI solutions.

Benefits

Comp & perks

100% employer-paid benefits plan
RRSP matching contributions of up to 6%
Remote, hybrid, or on-site work options
Competitive leave program supporting work-life balance
Competitive paid time off and personal wellness days
Employee referral bonus program
HSA and office equipment stipend
Opportunities for development and advancement within a growing company
Career growth in a company that prioritizes internal talent
Meaningful work that contributes to building digital trust in Canada