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Tier-1 brand and metro location increase competition, but senior AI-focused QA specialization reduces candidate density.
Deep enterprise finance QA, automation framework ownership, and AI experience make cross-industry fit difficult.
Explicit 12+ years plus extensive mandatory automation, AI, CI/CD, and database skills make shortlisting highly strict.
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Architect and implement scalable test automation frameworks for enterprise applications.
Lead AI and machine learning integration to enhance test accuracy, coverage, and efficiency.
Manage end-to-end testing and automation projects within CI/CD pipelines using tools like Jenkins and Urban Deploy.
12+ years in software development focused on test automation frameworks for enterprise finance or banking applications.
Proven experience in AI-related Python and Java development applying AI to testing challenges.
Expertise in Selenium, Cucumber BDD, UNIX/Linux and Windows environments, including Shell and Perl scripting.
Experience with Oracle PL/SQL, MongoDB, and modern CI/CD toolchains (Jenkins, Urban Deploy, Lightspeed).
Senior professional comfortable leading large-scale automation projects in complex enterprise or banking environments.
Strong integration focus on AI/ML techniques to advance software quality and testing efficiency.
Experienced in cross-functional collaboration with stakeholders and mentoring junior engineers.