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Tier-1 brand, metro location, and generalist SDET role generate high candidate competition.
Core QA automation skills are transferable, but regulated finance and data-pipeline expectations raise domain specificity.
Explicit 6+ years plus mandatory automation, cloud, chaos engineering, and data pipeline skills increases strictness.
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Own end-to-end quality strategy and test automation framework design, covering frontend, backend, API, and data validation layers for investment research platforms.
Develop and maintain automated test suites integrated into CI/CD pipelines including regression, smoke, integration, contract, performance, chaos engineering, and containerized workload validation.
Mentor engineers on quality best practices and incorporate Generative AI for enhancing test coverage and productivity under enterprise governance.
Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field or equivalent experience.
6+ years of SDET or quality engineering experience with hands-on Python test automation development.
Experience building automation frameworks for UI and API, event-driven microservices testing, chaos testing, containerized application testing, and data validation on cloud platforms.
Work Location: Hyderabad, India; Must work onsite as specified.
Experienced in quality engineering with a focus on scalable test automation across microservices and data pipelines in financial services or regulated industries.
Able to balance sprint delivery with long-term test architecture and platform scalability planning.
Strong communication skills to translate technical test coverage and quality risks clearly for both technical and business stakeholders.