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Strong employer brand plus senior QA role with GenAI/cloud specialization, moderate applicant density.
Role requires cybersecurity, distributed-systems and GenAI testing expertise, limiting cross-industry transferability.
Explicit 8+ years requirement plus mandatory QA, automation, cloud and GenAI testing skills.
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Develop and extend automated testing frameworks and tools for large-scale security platform processing 600+ billion events daily.
Architect and maintain test frameworks including AI/ML and GenAI applications with focus on model validation, accuracy, latency, and reliability.
Review and improve testing strategies, drive quality assurance in distributed microservices and CI/CD pipeline environments.
Minimum 8 years of experience shipping quality software.
Expertise in building and maintaining automation frameworks and CI/CD pipelines.
Experience with functional, load, and fuzz testing tools (e.g., Locust, CATS) and cloud platforms like AWS.
Work Experience Required: 8+ years in software quality engineering or related roles.
Experienced in testing distributed systems and microservices architectures in cloud environments.
Skilled in testing AI/ML applications, including LLM evaluation and validation techniques.
Comfortable working at the intersection of cybersecurity, big data, and AI technologies.