SDET, Team Lead III

• Identify and promote AI tools that improve test coverage, defect prediction, and automation (e.g., test script authoring, intelligent selection, anomaly detection). 

• Develop and implement an AI up-skilling plan for testers, from basics to practical application. 

• Run training and learning sessions to boost confidence and adoption of AI tools among testers. 

• Work with Quality leadership to integrate AI best practices into standards and processes. 

• Keep up with new AI testing technologies and share updates with the team regularly. 

· Review and refine test tools and frameworks to match platform changes.

· Collaborate with the team to maintain and improve automation infrastructure and lead the design of new frameworks when needed.

· Build new frameworks or prototypes for microservices and third-party integrations.

· Collaborate in cross-team automation projects and share reusable components.

· Audit automation test suites regularly for accuracy, coverage, and business value.

· Host technical meetings with testers to align priorities and share updates.

· Identify and resolve technical issues to maintain workflow.

· Advise as an expert on testing tools and processes.

· Quickly address build and development pipeline problems.

· Coordinate with Tech Ops to secure necessary resources.

· Support deployments and release processes across environments.

· Conduct both automated and manual testing to stay familiar with product workflows and platform behavior.

· Regularly update your knowledge of product workflows so testing strategies match real user journeys and key business paths.

· Help your team by writing code during critical delivery phases as needed.

· Use metrics like execution rates, coverage, and pass/fail trends to evaluate testing quality.

· Review production defects to gauge deliverable quality and pinpoint process gaps.

· Promote prevention and early detection, aiming to cut defect escapes and enhance shift-left practices.

· Oversee peer reviews of test scripts for efficient workflow and timely feedback.

· Maintain consistent application of quality practices like code reviews, branching, naming, and documentation standards.

· Provide mentorship and technical guidance to help the team grow their skills, especially in automation and AI

· Support technical and professional growth through coaching and career development within quality engineering.

· 5+ years in software quality engineering, including 2+ years as a technical lead or senior automation engineer.

· Proficient in at least one modern automation framework (Playwright, Cypress, Selenium, RestAssured, Karate, etc.).

· Experienced with CI/CD pipelines and development tools (GitHub Actions, Jenkins, Azure DevOps, GitLab CI).

· Strong knowledge of cloud-native architectures, microservices, and API testing (REST, GraphQL, event-driven).

· Background in mentoring, coaching, or leading test engineering teams.

· Skilled in defining and executing test strategies across agile teams.

· Excellent communicator with both technical and non-technical stakeholders