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Strong Tier-1 brand but senior, niche AI/QA specialization yields moderate competition density.
Specialized AI testing, agentic workflows, and security compliance make skills less transferable across industries.
Explicit 8+ years plus mandatory Python/Go, security compliance, and LLM testing skills creates high filtering.
Build and enhance test infrastructure and evaluation frameworks for AI-agentic Security Operations Center systems, focusing on AI agents, workflows, and system processes.
Develop and implement AI-based testing methodologies to mitigate risk, support security compliance, and maintain quality ecosystems.
Collaborate cross-functionally to execute tests including contract testing, audit log validation, LLM-as-judge techniques, and experimental proof-of-concept lifecycles.
Bachelor's degree with 8+ years in software development and test automation, specifically building large-scale testing ecosystems.
Strong programming skills in Python and Go with experience designing scalable, maintainable testing infrastructure.
Experience with security compliance frameworks and modern performance testing methodologies.
Demonstrated experience leveraging AI to build test automation solutions.
Experienced in translating complex quality challenges into structured AI/ML-driven test automation and validation strategies.
Proficient with AI/ML testing tools and frameworks, including LLM APIs (Claude, Codex), prompt engineering, LangChain, LangSmith, and agentic workflows.
Comfortable working within security and compliance domains using specific tools like OCSF validation libraries, Caldera, tenant isolation probes, and audit log validations.