Back
Mid-senior QA manager title with common demand but specialized AI automation reduces pure volume.
Medium because automation and AI skills transfer across industries but enterprise QA leadership prefers similar domain experience.
High due to explicit years, mandatory automation framework, AI/LLM expertise, and leadership requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and implementation of enterprise automation frameworks integrating Agentic AI for autonomous test generation, defect triage, and release validation.
Drive modernization from legacy automation to AI-powered quality engineering solutions and establish engineering standards and governance.
Oversee automated and manual testing execution, quality metrics monitoring, and present insights to senior management while mentoring teams and managing performance.
Bachelor's degree in Computer Science, Software Engineering, or related field (Master's preferred).
8–12+ years in software or quality engineering; 5+ years designing enterprise automation frameworks; 3+ years leading engineering teams or initiatives.
Experience with AI-assisted software development/testing solutions and Agile/Scrum environments.
Willingness to participate in onsite interviews and potentially onsite work during recruitment process.
Strong expertise in automation frameworks using technologies like Playwright, Selenium, REST Assured, Java/C#, and cloud-native services on Azure/AWS.
Proven leadership in driving AI-powered quality engineering, including Agentic AI, LLM integration, and advanced automated testing.
Experience operating in Agile environments with capability to define and monitor quality KPIs, establish best practices, and mentor technical teams.