Define the comprehensive QA strategy (manual and automated) and lead a high-performing engineering team, fostering a culture of technical ownership, mentorship, and continuous improvement.
Architect, implement, and maintain scalable test automation frameworks to increase testing efficiency, coverage, and velocity across all product lines.
Collaborate with DevOps and Development teams to integrate automated testing seamlessly into CI/CD pipelines, supporting continuous testing and deployment.
Partner closely with Product Managers, Developers, and stakeholders to align testing activities with business requirements, project schedules, and release timelines.
Execute complex SQL queries for data reconciliation, conduct API load/performance testing, and validate security measures against vulnerabilities and OWASP standards.
Leverage AI tools and assisted practices within workflows to optimize test case generation, enhance defect analysis, and expand overall coverage.
Lead release planning, environment coordination, production deployments, smoke testing, and post release verification activities.
Support production incident workflows by driving Root Cause Analysis (RCA), managing defects, and tracking critical quality and performance metrics.
Requirements
Bachelor’s or master’s degree in computer science or IT, with 10–11+ years of SQA experience, including a proven track record in a leadership/team management role.
Deep expertise in Agile (Scrum/Kanban) environments, the full SDLC, and designing comprehensive manual and automated testing strategies, test plans, and release coordination protocols.
Hands-on experience designing and implementing scalable automation frameworks using tools like Selenium and TestNG, alongside cross-platform, cross-browser, and API testing (Postman, SoapUI).
Strong proficiency in relational databases with the ability to write complex SQL queries for deep backend data verification and troubleshooting.
Proven experience in load/performance testing of APIs and microservices using JMeter (or LoadRunner), combined with familiarity with OWASP Top 10 risks and security scanning tools (OWASP ZAP, Burp Suite).
Demonstrated hands-on exposure to integrating AI-assisted testing tools (e.g., Cursor, LLMs) into QA workflows to optimize regression efforts and defect prioritization.
Exceptional communication and interpersonal skills, with a proven ability to manage stress, meet tight deadlines, and effectively mentor, coach, and develop team members.
