9+ years of progressive QA experience, including 2+ years in a leadership role.
Proven success in testing OS-level, hardware, mobile, cloud, and AI/ML solutions in consumer or IoT environments.
Experience with API testing (REST/gRPC/GraphQL), message queues, micro-services, and data pipelines.
Demonstrated use of AI tooling in QA workflows, such as generating test data and predicting flaky tests.
Strong understanding of Agile, Waterfall, and DevSecOps practices; adept at driving sprint ceremonies.
Bachelor's degree in Electronics or Electrical Engineering or equivalent experience.
Eligible to work in Canada.
Responsibilities
Define and promote a comprehensive QA vision that integrates manual, automated, and AI-augmented testing.
Establish and improve quality KPIs like defect escape rate and test coverage.
Mentor and expand a distributed QA team through workshops and AI upskilling sessions.
Review specifications and user stories to create risk-based, AI-generated test scenarios.
Build and maintain automated test suites using modern frameworks like Playwright and Cypress.
Conduct exploratory and compliance testing across various devices and platforms.
Pilot and integrate GenAI platforms to enhance test-case authoring and defect triage.
Benefits
100% employer-paid supplemental medical policy.
Opportunity to make a significant impact in a fast-growing company.
Generous PTO.
Collaborative, creative, and supportive work environment.
Full Job Description
About the Role
Reports To: QA Engineering Manager
Department: Engineering
Role Summary: We are seeking a highly skilled and forward-thinking Lead QA Engineer to guide our global QA efforts while introducing and embedding AI-based tools and intelligent automation across our development lifecycle.
As Lead QA Engineer, you will own the overall quality strategy for our hardware, firmware, mobile apps, cloud services and AI-powered features. You'll combine hands-on testing (manual and automated) with strategic adoption of the latest tools in generative AI, test automation, and DevSecOps to ship reliable, delightful experiences to families around the world.
What You'll Do Quality Strategy & Leadership
Define and evangelize a holistic QA vision that blends manual, automated and AI-augmented testing.
Establish quality KPIs (defect escape rate, test coverage) and continuously improve against them.
Mentor and scale a distributed QA team; run regular quality guilds, workshops and AI upskilling sessions.
Test Planning & Execution
Review specifications and user stories; derive risk-based, AI-generated test scenarios.
Build and maintain automated test suites (UI, API, integration, performance, security) using modern frameworks (Playwright, Cypress, Appium, Robot Framework).
Conduct exploratory, usability and compliance testing across multiple devices, OS versions, browsers and wearable hardware SKUs.
AI & Tooling Innovation
Pilot and integrate GenAI platforms (e.g., ChatGPT, GitHub Copilot) to accelerate test-case authoring, data fabrication and defect triage.
Leverage ML-based anomaly detection in observability pipelines (Datadog, New Relic, Grafana) to trigger self-healing tests.
Evaluate open-source and commercial AI test-ops solutions; build PoCs and drive adoption.
Infrastructure & DevSecOps
Partner with DevOps to enhance CI/CD pipelines (GitHub Actions, GitLab CI, Bitrise) for parallelized, containerized test execution.
Implement security and privacy test automation.
Cross-Functional Collaboration
Work closely with the Product, Engineering, Design, Customer Support and Release team to align on quality goals, release readiness and user feedback loops.
Provide data-driven insights to influence roadmap prioritization and AI feature rollouts.
Requirements What You'll Bring Required Experience
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-e.g., generating test data, fuzzing inputs, writing code, predicting flaky tests, or performing RCAs etc.
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.
Nice to Have
Certifications: ISTQB Advanced Test Manager, AWS DevOps Engineer, GCP Cloud Developer, or similar.
Skills & Attributes
Fluent in English
Benefits What We Offer
Competitive salary of 95,000-130,000 CAD/year and benefits including 100% employer paid supplemental medical policy
An opportunity to make a significant impact in a fast-growing company
Generous PTO
Collaborative, creative, and supportive work environment
