Quality Engineer I

TD•Toronto, ON

2d•CA$69,700 - CA$98,400•Onsite

About The Position

Design, build, execute, and maintain manual/automated tests across the SDLC, embedding quality into continuous delivery pipelines. Analyze requirements, design specs, and architecture to define test scope, scenarios, and end-to-end validation coverage. Develop and debug automation frameworks/scripts; manage test suites, traceability, defect logging, and defect resolution support. Implement functional and non-functional test automation (performance, reliability/ORT, accessibility, security) and integrate into CI/CD/CT. Define and manage test environments and test data, including automated data provisioning and service virtualization for unavailable dependencies. Use core engineering toolchains (DevOps tooling, source control, monitoring, test management platforms) and provide rapid, data-driven quality feedback/reporting. Apply BDD/TDD and AI-assisted testing capabilities with governance (test generation, risk-based prioritization, triage, root-cause insights, test maintenance), validating AI outputs for accuracy, explainability, and bias. Align with business partners, developers, and engineering teams to deliver milestones on time, within budget, and to quality/regulatory standards. Capture and communicate decisions, risks, dependencies, and lessons learned; escalate high-risk issues early and drive continuous improvements.

Requirements

Test automation
functional/non-functional testing
CI/CD integration
defect management
test data/environment planning
BDD/TDD
AI-assisted testing with governance
Selenium/Cypress/Playwright
Jira/Azure DevOps
TestRail/qTest/Xray
Postman/REST Assured
JMeter/k6
Git/Jenkins/GitHub Actions/Azure Pipelines
service virtualization tools
test data tools
approved AI testing assistants
Exposure to cross-functional enterprise environments with multiple teams and dependencies.

Nice To Haves

accessibility/security testing
enterprise DevOps exposure
reusable QA asset development

Responsibilities

Design, build, execute, and maintain manual/automated tests across the SDLC, embedding quality into continuous delivery pipelines.
Analyze requirements, design specs, and architecture to define test scope, scenarios, and end-to-end validation coverage.
Develop and debug automation frameworks/scripts; manage test suites, traceability, defect logging, and defect resolution support.
Implement functional and non-functional test automation (performance, reliability/ORT, accessibility, security) and integrate into CI/CD/CT.
Define and manage test environments and test data, including automated data provisioning and service virtualization for unavailable dependencies.
Use core engineering toolchains (DevOps tooling, source control, monitoring, test management platforms) and provide rapid, data-driven quality feedback/reporting.
Apply BDD/TDD and AI-assisted testing capabilities with governance (test generation, risk-based prioritization, triage, root-cause insights, test maintenance), validating AI outputs for accuracy, explainability, and bias.
Align with business partners, developers, and engineering teams to deliver milestones on time, within budget, and to quality/regulatory standards.
Capture and communicate decisions, risks, dependencies, and lessons learned; escalate high-risk issues early and drive continuous improvements.