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Tier-1 brand, mid-level generalist software title, metro hiring, and broad skillset create high applicant competition.
Requires security/SIEM knowledge plus AI testing expertise, making cross-industry fit less transferable.
Explicit 4–8 years, mandatory Python/Go, security compliance, and AI test automation raise strict screening.
Develop and maintain test infrastructure and evaluation frameworks for AI-agentic Security Operations Center systems.
Drive engineering efficiency by implementing benchmarking protocols, validation techniques, and experimental proof-of-concepts for AI agents and workflows.
Collaborate cross-functionally to integrate quality processes including contract testing, audit log validation, and security compliance across development lifecycle.
Bachelor's degree with 4+ years of experience in software development and test automation for large-scale testing ecosystems.
Proficient in Python and Go programming for designing scalable, maintainable, high-performance testing infrastructure.
Experience with security compliance frameworks and modern performance testing methodologies.
Experience using AI techniques to build test automation.
Strong capability to translate complex quality challenges into actionable technical implementations and solutions.
Technical vision to innovate within AI/ML domains aiming at detection efficacy and system reliability improvements.
Experienced in test automation (Python, Go, contract testing frameworks) and performance testing tools (e.g., K6, JMeter).