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Tier-1 brand, popular QA role, metro location and mid-level experience create high applicant competition.
Role's cybersecurity and AI/ML testing focus makes background fit highly domain-sensitive.
Explicit 5+ years, mandatory automation/CI-CD, cloud and AI/ML testing skills raise shortlisting strictness.
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Develop and extend automated testing frameworks and tools including for API validation, performance/load testing, fuzzing, and AI/ML applications.
Architect and implement evaluation pipelines to test and monitor AI/ML model quality metrics such as accuracy, latency, bias, hallucination detection, and reliability.
Collaborate with development teams to review and enhance testing strategies and maintain CI/CD pipelines with a focus on security operations platform microservices.
5+ years of experience in software quality engineering and automation including building/testing frameworks and CI/CD pipelines.
Experience deploying services on cloud platforms such as AWS, Azure, or GCP.
Expertise in functional, load, and fuzz testing tools (e.g., Selenium, Playwright, Locust, CATS).
Work Experience Required: 5+ years
Strong background in testing distributed systems and microservices architectures, preferably in security or big data domains.
Hands-on experience with AI/ML model testing, especially for GenAI and LLMs.
Comfortable working with modern tech stacks including Kubernetes, Docker, AWS services, and AI/ML evaluation frameworks.