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Medium — Tier-1 brand and metro location increase competition; senior, specialized QA reduces applicant pool.
Medium — automation and Python skills transfer broadly, but finance/regulatory and GenAI leadership increase specificity.
High — strict mandatory 10+ years, plus required Python, GenAI, cloud and automation expertise.
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Own and implement the overall quality strategy covering functional, automation, performance, data, and security testing for cloud-native products in Credit & Verification Services.
Lead, mentor, and manage a team of test engineers, driving best practices and automation-first strategies to accelerate release cycles.
Design and develop scalable test automation frameworks; leverage AI and Gen AI tools to enhance productivity and capabilities of the SDET community.
10 years hands-on experience in quality engineering/test automation with minimum 2-3 years in technical leadership or test lead roles.
Bachelor's degree in computer science, engineering, or related field.
Strong proficiency in Python for automation frameworks and scripting as mandatory.
Experience with cloud-native architectures (preferably AWS), automation tools (Selenium, Cypress, Playwright), API testing (Rest Assured, Postman), and CI/CD pipeline tools like Jenkins or GitHub Actions.
Proven ability to deliver quality for large-scale, regulated industry systems (finance, insurance) with strong focus on continuous testing and DevOps integration.
Experienced in leading multi-cloud/hybrid automation strategies and embedding quality early via shift-left testing.
Demonstrated usage of Generative AI (LLMs, AI-assisted tools) to innovate test automation and develop reusable AI-driven utilities.