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Medium — Tier-1 brand attracts many senior candidates, but niche AI-testing and security skills narrow the pool.
High — specialized AI/LLM testing, security compliance, and agentic workflows limit cross-industry transferability.
High — explicit 8+ years, required Python/Go, AI-testing, security compliance, and specific tooling.
Develop and maintain scalable test infrastructures for AI-agentic Security Operations, focusing on benchmarking and evaluation frameworks.
Implement AI-driven testing methodologies and validation techniques, including LLM-as-judge and tenant isolation probes, to enhance system integrity and reliability.
Collaborate cross-functionally to ensure security compliance, contract testing, and integration of quality across the software development lifecycle.
Bachelor’s degree in relevant field.
8+ years software development and test automation experience, with large-scale testing ecosystem development.
Proficient in Python and Go programming for scalable, maintainable testing infrastructure.
Experience with security compliance frameworks and modern performance testing methodologies.
Experienced in applying AI/ML tools for test automation, including LLM APIs, prompt engineering, LangChain, and LangSmith.
Strong background in security & compliance testing tools and methodologies (e.g., OCSF, Caldera, audit log validation).
Demonstrated ability to convert complex quality challenges into actionable, scalable technical solutions within AI-powered environments.