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About the role
The Lead QA will oversee end-to-end quality assurance initiatives for enterprise SaaS applications, integrating manual and AI-driven automation testing. They will collaborate with cross-functional teams to establish quality standards, mentor staff, and drive continuous process improvements.
What they look for
Requirements
Candidates must have 10+ years of experience in QA within SaaS environments and hold a bachelor's degree in a relevant technical field. Proficiency in Python, automation frameworks, and AI-powered testing tools is essential for this leadership role.
Full description
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 careers@cliqhr.co.in
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