QA Lead

Frontier Dental CA


Date: 12 hours ago
City: Markham, Ontario
Contract type: Full time

**5 days/week on-site in Markham office**


The QA Lead will drive the quality vision and execution for one or more product lines. This is a hybrid leadership role blending hands-on testing expertise with strategic people, process, and tooling leadership — including the integration of modern AI capabilities. You’ll guide a high-performing QA team to deliver reliable, high-quality software through a thoughtful mix of manual/exploratory testing and automated test engineering.


Key Responsibilities:


Quality Strategy & Governance


  • Define and evangelize the overall QA strategy, quality KPIs, and release readiness criteria.
  • Champion modern quality practices including shift-left (TDD/BDD) and shift-right (observability, production monitoring) testing.
  • Lead the development of risk-based test plans, traceability matrices, and continuous quality improvement strategies.
  • Leverage AI-assisted tools for test prioritization and risk analysis to target high-impact areas.


People Leadership


  • Hire, mentor, and grow a multidisciplinary QA team including manual testers, SDETs, and automation engineers.
  • Coach team members on test design, root cause analysis, automation best practices, and career development.
  • Conduct regular 1:1s, performance reviews, and individual growth plans to build a culture of accountability and learning.


Manual & Exploratory Testing


  • Lead the creation of detailed test cases, exploratory charters, and session-based test documentation.
  • Execute thorough validation across web, mobile, and API layers, including usability, accessibility, and edge cases.
  • Manage comprehensive test cycles: smoke, regression, UAT, load/performance, and production verification.
  • Use AI tools to generate exploratory ideas and summarize findings efficiently.


Automation Engineering


  • Design and maintain robust UI, API, and integration test suites using frameworks like Playwright, Cypress, or Selenium.
  • Build out CI/CD-integrated pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps) with rapid failure detection.
  • Implement test data management, service virtualization, and environment provisioning.
  • Adopt cutting-edge AI tools for self-healing tests and automated script generation to reduce maintenance overhead.


Process, Tooling & Quality Reporting


  • Standardize tooling across the QA lifecycle (e.g., Jira/Xray, TestRail, Zephyr).
  • Drive SLA adherence for defect triage, reporting, and resolution.
  • Deliver clear, actionable QA dashboards and facilitate root cause analysis (RCA) and retrospectives.


Cross-Functional Collaboration


  • Represent QA in agile ceremonies, design reviews, and release readiness discussions.
  • Work closely with Product, DevOps, Engineering, Security, and Customer Success to ensure quality goals are aligned.


Qualifications & Experience:


  • 3+ years leading QA or SDET teams.
  • Strong background in both manual and automated testing for SaaS/cloud-native applications.
  • Experience working with offshore teams.
  • Proficient in JavaScript/TypeScript and one or more automation frameworks (e.g., Playwright, Cypress, Selenium).
  • Deep familiarity with Agile/Scrum, CI/CD workflows, Git-based version control.
  • Hands-on experience with API testing (Postman, REST-assured, Pact), data validation (SQL/NoSQL), and performance tools (JMeter, k6).
  • Experience with containerized environments (Docker, Kubernetes) and at least one major cloud platform (AWS, Azure, GCP).
  • Strong communication, coaching, and stakeholder management skills.


Preferred Qualifications:


  • Certifications: ISTQB Advanced Test Manager, Certified Agile Tester, or equivalent.
  • Experience in microservices, event-driven, or IoT systems.
  • Exposure to security testing (e.g., OWASP ZAP, Burp Suite, SAST/DAST).
  • Familiarity with observability tools like Grafana, Prometheus, New Relic, or Datadog.
  • Experience implementing AI-powered QA tools (e.g., generative testing, predictive analytics, self-healing automation).
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