QE Head Insurance Domain

As a QE Head in the Insurance domain at KGiSL, you will play a crucial role in leading and driving the quality strategy for our insurance technology solutions. With over 15 years of experience in Quality Engineering & Assurance, you will be responsible for defining and implementing end-to-end QE strategies to ensure high-quality deliverables. Your expertise in insurance products, underwriting, claims, policy administration, and regulatory compliance will be essential in this role. Your key responsibilities will include developing and enhancing automation frameworks for functional, API, regression, and performance testing. You will ensure thorough testing of insurance applications with domain-specific scenarios, validate compliance with insurance regulations, and establish performance, load, and security testing strategies. Collaboration with business, development, product, and IT teams will be crucial to align quality objectives with business goals. You will lead a global team of QA engineers, automation testers, and domain specialists, fostering a culture of innovation and excellence. Your strong leadership, stakeholder management, and communication skills will be instrumental in establishing robust defect tracking, reporting, and risk mitigation strategies. To be successful in this role, you should have hands-on experience in test automation frameworks such as Selenium, Cypress, TestNG, JUnit, expertise in API testing tools like Postman, REST Assured, SoapUI, and knowledge of performance testing and security testing practices. Experience in CI/CD pipelines, DevOps tools, and familiarity with cloud-based insurance solutions and digital transformation initiatives will be advantageous. Preferred certifications for this role include ISTQB Advanced Level Test Manager, Certified Agile Tester (CAT), and insurance domain certifications. KGiSL is a BFSI centric multiproduct Enterprise Software company that focuses on delivering incremental business outcomes through products and services powered by Machine Learning, Artificial Intelligence, Analytics, Data Science, and Cloud technologies. With over 1500 professionals across various locations, we are committed to delivering innovative solutions that address real-time challenges in the software development industry. Visit our website at https://www.kgisl.com for more information.,