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Senior QA role in Bengaluru at a known security startup with AI/ML specialization yields moderate competition.
Strong cybersecurity and GenAI testing requirements reduce cross-industry transferability.
Explicit 8+ years plus mandatory QA, cloud, CI/CD and AI/ML testing expertise creates strict shortlisting filters.
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Develop and extend software frameworks and tools for automated testing and monitoring within Arctic Wolf's security operations platform processing 600+ billion events daily.
Architect and implement diverse automated testing methods including API validation, performance/load testing, fuzzing, and GenAI/AI/ML model validation and evaluation pipelines.
Collaborate with development teams by reviewing testing strategies and maintain CI/CD pipeline integration for cloud-deployed microservices and distributed systems.
8+ years of experience in software quality engineering or related roles.
Proven experience in building and maintaining automation frameworks and CI/CD pipelines.
Expertise in testing tools for functional, load, and fuzz testing (e.g., Selenium, Playwright, Locust, CATS).
Experience deploying services on cloud platforms such as AWS, Azure, or GCP.
Experienced working in environments involving distributed systems and microservices architecture, preferably within cybersecurity or data-intensive domains.
Strong background in integrating AI/ML testing frameworks and working at the intersection of AI/ML, Big Data, and cybersecurity.
Capable of leading test framework architecture and providing strategic input on testing approaches to enhance product quality and reliability.