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Mid-level SDET (2–5 yrs) in Gurgaon with a common title and metro location increases applicant competition.
Specialized GenAI and post-trade domain expertise raises preference for financial and AI-experienced candidates.
Explicit 2–5 years requirement plus specific automation, GenAI, and tooling mandates tight shortlisting filters.
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Design, build, and maintain automated test frameworks encompassing functional, API, integration, regression, and performance testing for high-volume, distributed service-oriented systems.
Collaborate with cross-functional teams including developers, product owners, architects, and infrastructure to ensure continuous product quality and enhance testability.
Lead quality validation efforts for AI-powered and post-trade processing products including Generative AI models and Asset Management systems, using tools like JMeter, SQL, Python, Java, and relevant AI testing frameworks.
Bachelor’s degree in Computer Science, Engineering, or IT.
2-5 years of SDET or QA experience with expertise in automated software testing methodologies, API performance testing (JMeter), database testing, and SQL.
Hands-on proficiency in automation using Java or Python, Playwright, JavaScript, and BDD frameworks.
Location: Gurgaon, India (onsite)
Experienced in testing high-volume, distributed, service-oriented systems with strong automation and troubleshooting skills.
Demonstrated specialized experience testing advanced AI technologies (Generative AI, LLMs, Agentic AI frameworks) and familiarity with AI platforms like Azure OpenAI, OpenAI, Claude, Google Gemini.
Exposure to cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), CI/CD tools, and knowledge of Asset Management/Post-Trade processing or financial markets domains.