Lead QA Engineer

Cosmo Technologies

. Define and evangelize a holistic QA vision combining manual, automated and AI-augmented testing .

Posted 11/5/2026full-timeToronto • CanadaSenior💰 CA$95,000 - CA$130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Quality Assurance with a focus on manual, automated, and AI-augmented testing. Proven ability to lead QA teams, establish quality KPIs, and integrate AI tools into testing workflows.

Highest-signal resume keywords

9+ Years QA ExperienceAPI Testing (REST/gRPC/GraphQL)AI Tooling in QAAgile and DevSecOps PracticesLeadership in QA Team

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automated TestingTest Suite DevelopmentRisk-Based TestingExploratory TestingCompliance TestingSecurity Test AutomationData-Driven InsightsDefect Escape RateTest CoverageAI-Generated Test Scenarios

Soft Skills

MentoringCollaborationCommunicationDriving Sprint CeremoniesUser Feedback Integration

Tools & Technologies

PlaywrightCypressAppiumRobot FrameworkDatadogNew RelicGrafanaGitHub ActionsGitLab CIBitrise CI/CD

Certifications & Qualifications

ISTQB Advanced Test ManagerAWS DevOps EngineerGCP Cloud Developer

Industry Keywords

Consumer IoTMobile TestingCloud SolutionsAI/ML SolutionsQuality KPIs

Tech Stack

Tools & technologies

AWSCloudCypressGoogle Cloud PlatformGrafanaGraphQLGRPCIoT

About the role

Key responsibilities & impact

Define and evangelize a holistic QA vision combining manual, automated and AI-augmented testing
Establish quality KPIs, including defect escape rate and test coverage, and continuously improve them
Mentor and scale a distributed QA team; run quality guilds, workshops and AI upskilling sessions
Review specifications and user stories and derive risk-based, AI-generated test scenarios
Build and maintain automated UI, API, integration, performance and security test suites using Playwright, Cypress, Appium and Robot Framework
Conduct exploratory, usability and compliance testing across devices, OS versions, browsers and wearable hardware SKUs
Pilot and integrate GenAI platforms such as ChatGPT and GitHub Copilot for test-case authoring, data fabrication and defect triage
Leverage ML-based anomaly detection in Datadog, New Relic and Grafana observability pipelines to trigger self-healing tests
Evaluate AI test-ops solutions, build proofs of concept and drive adoption
Partner with DevOps to enhance GitHub Actions, GitLab CI and Bitrise CI/CD pipelines for parallelized, containerized test execution
Implement security and privacy test automation
Collaborate with Product, Engineering, Design, Customer Support and Release teams on quality goals, release readiness and user feedback loops
Provide data-driven insights for roadmap prioritization and AI feature rollouts

Requirements

What you’ll need

9+ years of progressive QA experience, including 2+ years leading QA team
Proven success testing OS Level and/or hardware + mobile + cloud + AI/ML solutions in a consumer or IoT environment
Experience with API testing (REST/gRPC/GraphQL), message queues, micro-services and data pipelines
Demonstrated use of AI tooling in a QA or development workflow, including generating test data, fuzzing inputs, writing code, predicting flaky tests, or performing RCAs
Strong grasp of Agile, Waterfall, and DevSecOps practices
Comfortable driving sprint ceremonies and quality gates
Bachelor’s degree in Electronics or Electrical Engineering or equivalent proven experience
Eligible to work in Canada
Fluent in English
ISTQB Advanced Test Manager, AWS DevOps Engineer, GCP Cloud Developer, or similar certifications are nice to have

Benefits

Comp & perks

100% employer paid supplemental medical policy
Generous PTO
Collaborative, creative, and supportive work environment
Opportunity to make a significant impact in a fast-growing company