Quality Assurance Lead - Automation Testing

An ideal candidate brings a strong engineering background, leadership experience, and a passion for software quality. If you thrive in a fast-paced environment and excel in hands-on QA management, wed love to meet you.

Responsibilities :

- Develop and implement a comprehensive QA strategy aligned with business and product goals.

- Continuously improve testing efficiency through automation and process optimization.

- Ensure best practices in test automation, CI/CD integration, and defect tracking.

- Lead and mentor a team of QA engineers, providing technical guidance and coaching.

- Collaborate with product and engineering teams to ensure robust and testable software.

- Own release readiness, ensuring that new features meet high-quality standards.

- Track and report quality metrics, defect trends, and test execution progress.

- Provide clear and timely updates to stakeholders on QA efforts and software readiness.

- Lead test automation efforts, execute test cases across various testing types, and collaborate

with developers to ensure high-quality software.

- Stay updated with industry trends, emerging technologies, and best practices in QA and

testing, leveraging this knowledge to drive innovation and continuous software quality

improvements.

- Lead root cause analysis for quality issues and implement effective corrective actions.

- Foster collaboration between quality, engineering, product management, and other teams to

establish seamless quality processes.

- Hands-on experience in designing and implementing automation frameworks with a focus on innovation and efficiency.

Qualifications :

- Bachelors degree in Engineering, Computer Science, or a related field.

- 8+ years of experience in software quality assurance, with at least 4+ years in a managerial or lead role.

- Strong expertise in test automation frameworks (Cypress, Selenium, Cucumber, etc.

- Proficiency in Python and SQL; experience with other languages is a plus.

- Hands-on experience with cloud platforms (AWS, Azure, or GCP).

- Expertise in CI/CD pipelines and version control systems (e. , Git).

- Deep understanding of software QA methodologies, tools, and processes.

- Excellent leadership, communication, and problem-solving skills.