Digital Innovation Leader

6 days ago

Lahore, Punjab, Pakistan beBeeQuality Full time
Head of Quality Assurance Job Description

We are seeking an experienced and results-driven Head of Quality Assurance to lead our QA team with a primary focus on automation and AI-assisted testing. This is an exciting opportunity for someone passionate about quality engineering, cutting-edge technology, and leading high-performing teams.

Job Responsibilities:
  • Implement and drive agile testing techniques and best practices throughout QA teams.
  • Lead QA engineers and automation testers, fostering cross-functional collaboration, and ensuring clear test results, metrics, and quality issues to stakeholders.
  • Develop and execute a strategic roadmap for QA automation, incorporating AI-assisted tools and techniques, ensuring alignment with business and technical goals.
  • Design, implement, and maintain end-to-end automation frameworks for functional, regression, and performance testing.
  • Leverage AI and Machine Learning to enhance test case generation, anomaly detection, and predictive analytics in the testing process.
  • Lead efficient implementation and continuous improvement of Agile methodologies (Scrum, Kanban, etc.) within the team.
  • Oversee planning and execution of the full QA lifecycle and ensuring proper test coverage across releases.
  • Ensure that the process is fully integrated into Agile sprints, emphasizing continuous delivery and test-driven development (TDD).
  • Define and monitor key quality metrics to track progress and identify areas for improvement.
  • Provide detailed reports on automation test results and system performance, making recommendations for improvement.
Required Skills and Qualifications:
  • Proven experience (8+ years) in a QA leadership or management role, with a focus on test automation and AI-driven solutions.
  • Extensive experience of implementing agile testing techniques and best practices.
  • Expertise in developing and maintaining automation frameworks (e.g., Selenium, Appium, Cypress, etc.).
  • Hands-on experience with AI techniques applied to QA automation (e.g., AI-driven testing, anomaly detection, predictive analytics).
  • Familiarity with cloud-based testing and containerized environments (e.g., Docker, Kubernetes).
  • Strong knowledge of AI/ML tools for test automation, including TensorFlow, PyTorch, or other relevant libraries.
  • Strong experience with test management and CI/CD tools (e.g., Jenkins, GitLab CI, Bamboo, Testrail).
  • Familiarity with testing frameworks such as JUnit, TestNG, or Mocha.
  • Experience with performance and load testing tools (e.g., JMeter, Gatling, LoadRunner).
  • Proven leadership skills in building and nurturing high-performing teams, with a strategic and entrepreneurial mindset to drive growth and innovation.
  • Able to set realistic expectations within the team and across all stakeholders while also bringing creative solutions to challenges, ensuring continued effective progress in managing stakeholder expectations.
  • A degree in Computer Science, Engineering, or a related field.
  • Relevant certification (in Scrum, Agile, or Agile Testing)

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