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Tier-1 brand, Hyderabad metro, and broad senior QA automation and AI skillset increases candidate competition.
Requires financial services and trading-platform expertise, limiting cross-industry transferability.
15+ years, finance domain expertise, and mandatory QA automation/AI skills make screening stringent.
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Lead the definition and execution of an enterprise-wide Quality Engineering strategy emphasizing automation-first and AI-enabled testing to improve software quality and accelerate delivery.
Transform traditional QA processes to continuous quality engineering by establishing standardized frameworks, governance, and best practices across Agile and DevOps models.
Drive modernization of QA operating model including automation strategy, tooling, governance, and talent development to support scalable, efficient quality assurance in complex investment management technology environments.
15+ years of technology experience with significant leadership in Quality Engineering, QA Automation, and Testing.
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
Strong knowledge of Asset & Wealth Management, Investment Management, Portfolio Management, Trading Platforms, or Financial Services technology.
Hands-on experience with automation tools including AI-driven testing, API, UI, Data, regression, performance testing and cloud-based testing platforms.
Experienced leader capable of building and scaling enterprise QA and automation teams within financial services technology, especially investment management domains.
Proven track record in transforming QA operating models and driving continuous quality engineering aligned to Agile and DevOps delivery.
Strategic thinker who can partner effectively with product and technology leadership to embed quality throughout SDLC and deliver measurable business outcomes via automation and advanced testing techniques.