This is a remote position. We are looking for an experienced Lead QA Engineer to lead quality assurance initiatives across enterprise SaaS applications. The ideal candidate will be responsible for driving end-to-end QA activities, combining manual and automation testing with AI-driven testing practices to ensure high-quality, scalable software releases. This leadership role requires close collaboration with Product, Engineering, and DevOps teams to establish quality standards, improve testing processes, and deliver reliable products in a fast-paced Agile environment. Key Responsibilities • Lead end-to-end Quality Assurance activities across the Software Development Lifecycle (SDLC). • Design, develop, and execute manual, automation, regression, integration, API, and end-to-end test cases. • Build, enhance, and maintain automation frameworks using Python-based testing tools. • Collaborate with Product, Engineering, and DevOps teams to improve software quality and release reliability. • Leverage AI-powered testing tools to improve automation efficiency, test coverage, and productivity. • Develop comprehensive test strategies, test plans, quality metrics, and testing documentation. • Perform SQL database validation and Elasticsearch data verification. • Lead defect triage sessions, perform root cause analysis, and participate in release quality reviews. • Monitor test execution, identify quality risks, and recommend mitigation strategies. • Present QA case studies, drive process improvements, and promote QA best practices across teams. • Mentor QA engineers and foster a culture of continuous quality improvement. Key Skills & Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. • 10+ years of experience in Quality Assurance within SaaS or Product-based environments. • Strong expertise in both Manual Testing and Automation Testing. • Hands-on experience with AI-powered testing tools such as Testim, Mabl, Functionize, ACCELQ, TestRigor, Applitools, Tosca AI, GitHub Copilot, or similar platforms. • Proficiency in Selenium, PyTest, Postman, SQL, and Elasticsearch. • Good understanding of Python and Vue.js from a QA and testing perspective. • Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). • Knowledge of API testing, database testing, regression testing, and performance testing concepts. • ISTQB, CSTE, or equivalent QA certification is preferred. • Strong analytical, troubleshooting, and problem-solving abilities. • Excellent communication, stakeholder management, leadership, and mentoring skills. • Experience working in Agile/Scrum environments and leading QA teams. Apply by sending your CV to [email protected]