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Metro role with a common QA manager title and moderate employer brand yields moderate candidate competition.
Core automation and QA leadership skills transfer across industries, but Agentic AI/LLM specialization increases domain specificity.
Explicit years, managerial requirement, and niche AI-assisted automation skills create strict shortlisting filters.
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Lead design and implementation of AI-powered enterprise automation frameworks for software quality engineering.
Drive adoption of Agentic AI solutions including autonomous test generation, defect triage, and root cause analysis.
Manage engineering standards, CI/CD quality gates, team leadership, and cross-functional collaboration to improve software quality.
Bachelor's degree in Computer Science, Software Engineering, or related field; Master's preferred.
8–12+ years in software or quality engineering, with 5+ years in enterprise automation framework design and 3+ years in technical leadership.
Experience implementing AI-assisted software development or testing solutions and working in Agile/Scrum environments.
Applicants may need to appear onsite at Wolters Kluwer office during recruitment; interviews require no AI tool assistance.
Senior technical leader with strong background in automation frameworks and AI/LLM technologies applied to software testing.
Experience managing cross-functional teams and driving modernization from legacy to AI-powered testing solutions.
Expertise in cloud-native automation, CI/CD integration, and implementing scalable, resilient quality engineering practices.