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Strong Tier-1 brand and Bangalore location increase competition, but senior specialized leadership reduces applicant density.
Automation, cloud, and QA leadership skills transfer across industries, though enterprise software experience is preferred.
Explicit seniority, automation, cloud and GenAI requirements create highly selective shortlisting filters.
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Lead and grow the Quality Engineering team ensuring deliverables of high-quality software products with a strong automation-first approach.
Develop and implement comprehensive test strategies, oversee test execution, defect management, and drive adoption of test automation frameworks across enterprise-scale projects.
Lead AI-powered quality engineering innovations, integrate AI/ML tools for predictive defect detection and intelligent analytics, and support presales activities including client engagements and proof of concepts.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
15+ years of IT experience with at least 10 years in software testing, particularly test automation.
5+ years in leadership/managerial role managing large teams (20+ quality engineers) on complex projects.
Proficiency with test automation tools and scripting languages (JavaScript, TypeScript, Java, C#, Python), test management tools (Jira, Azure DevOps, HP ALM), and cloud platforms (Azure, AWS, GCP).
Experienced in managing large-scale, complex enterprise software quality engineering projects with a strategic and tactical mindset.
Strong background in adopting and leading automation-first testing approaches and championing shift-left and continuous quality engineering practices.
Demonstrated ability to leverage AI and Agentic AI tools to innovate test design, automation, and quality insights, combined with client-facing presales and stakeholder communication skills.