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Mid-level SDET in Gurgaon with broad requirements and popular 2–5 years band increases candidate competition.
Requires fintech post-trade domain and GenAI testing expertise, reducing cross-industry transferability.
Explicit 2–5 years plus specific technical, QA, and GenAI testing mandates indicate high shortlisting strictness.
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Design, implement, and maintain automated test frameworks for functional, API, integration, regression, and performance testing of high-volume, distributed systems.
Collaborate across engineering, product, architecture, and infrastructure teams to ensure high product quality and continuous delivery.
Contribute to Agile processes and technical hiring, and research new testing methodologies relevant to AI and post-trade financial systems.
Bachelor's degree in Computer Science, Engineering, or IT.
2-5 years of experience as SDET or QA focusing on test automation, API testing with JMeter, database testing, and Agile methodologies.
Proficiency in Python or Java for automation scripting, with experience in Playwright, JavaScript, and BDD frameworks.
Location requirement: Gurgaon, India.
Experienced in testing distributed, service-oriented architectures in financial or post-trade environments, especially relating to Asset Management or Post-Trade Processing.
Skilled in automation frameworks and familiar with GenAI, LLM testing, and AI ecosystem tools like LangChain and Azure OpenAI.
Comfortable working in Agile teams, contributing to design and quality discussions, and supporting continuous integration/delivery pipelines.