Develop and implement a robust end-to-end testing strategy that aligns with project objectives, requirements, and timelines
Create detailed test plans, test cases, and test scripts to validate system functionality, performance, and scalability
Execute tests, document results, and track defects
Collaborate with automation teams to identify and automate key test scenarios
Lead a team of testers, providing guidance, support, and mentorship
Coordinate with infrastructure teams to set up and maintain test environments that accurately replicate production conditions
Track and manage defects throughout the testing lifecycle
Define and track key testing metrics to measure the effectiveness and progress of testing activities
Identify opportunities for process improvements, efficiency gains, and enhanced quality assurance practices
Work closely with product teams to ensure that user stories are well-defined and testable
Provide technical leadership and mentorship to the testing and engineering teams.

Bachelor's Degree or Equivalent
Substantial general work experience together with comprehensive job-related experience in own area of expertise to fully competent level (Over 6 years to 10 years)
Expertise in test automation frameworks such as Selenium, JUnit, TestNG, Cucumber, and similar tools
Proficient in Java, JavaScript, Python, or C# for automation, tooling, and test development
Strong experience integrating automated tests into CI/CD pipelines using Jenkins, GitLab CI/CD, Bamboo, or equivalent
Solid knowledge of data testing, including SQL queries, data validation, and integrity checks
Experience testing applications on cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes)
Extensive hands-on experience in end-to-end, integration, regression, and system testing
Proven QA leadership experience, including managing, mentoring, and scaling testing teams
Practical use of AI-powered testing tools for test generation, optimization, defect prediction, and analytics
Strong understanding of AI/ML model testing, including data quality, accuracy, bias, robustness, and drift validation.

Lead Software Development Engineer – Testing

Key skills