Lead QA Engineer at COSMO — NeverHard

Our Story: At COSMO, we inspire kids through innovative technology and a supportive community. Our family-centric products, such as the award-winning JrTrack Kids Smartwatch, enhance children's independence and confidence. This all-in-one device functions as a phone, GPS tracker, and music player, managed via the Mission Control Parent App, which allows parents to set safety alerts and manage contacts. Recognized as a top kids' wearable by PCMag and others, Cosmo is on the rise. 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 DoQuality 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 BringRequired 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