Automation Engineer

2 weeks ago

Lahore, Punjab, Pakistan beBee Careers Full time

Senior QA Engineer - Automation Lead

We are looking for an experienced Senior QA Engineer to lead our automation efforts. This individual will be responsible for designing, implementing, and maintaining end-to-end automation frameworks for functional, regression, and performance testing.

  • This role requires a deep understanding of agile testing techniques and best practices, as well as hands-on experience with AI techniques applied to QA automation (e.g., AI-driven testing, anomaly detection, predictive analytics).
  • You will develop and execute a strategic roadmap for QA automation, incorporating AI-assisted tools and techniques, ensuring alignment with business and technical goals.
  • A key aspect of this role is leading QA engineers and automation testers in fostering cross-functional collaboration and ensuring clear test results, metrics, and quality issues to stakeholders.
  • You will oversee the efficient implementation and continuous improvement of Agile methodologies (Scrum, Kanban, etc.) within the team.
  • The full QA lifecycle, including planning and execution, will be overseen by you, ensuring proper test coverage across releases.
  • You will define and monitor key quality metrics to track progress and identify areas for improvement.
  • Lastly, you will provide detailed reports on automation test results and system performance, making recommendations for improvement.

Requirements

  • 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.
  • A degree in Computer Science, Engineering, or a related field.
  • Relevant certification (in scrum, agile, or agile testing)

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