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Job Analysis:
This QA Automation Engineer role at Trilogy is fundamentally about redefining quality assurance through advanced AI integration rather than relying on traditional manual or scripted testing. The core purpose is to build and maintain intelligent, adaptive test automation frameworks that leverage Generative AI (GenAI) to proactively identify bugs, simulate complex user behaviors, and stress-test products dynamically before release. The candidate is expected to operate within a fast-moving, product-embedded team that eschews the usual wait-for-bug-fix cycle and instead anticipates failures through continuous, AI-driven analytics and feedback. Success here is measured by the ability to evolve test coverage that not only preserves but actively improves product quality and release confidence in a highly technical, ambiguous environment. Key responsibilities include creating AI-powered tools that bring efficiency and insight to testing workflows, moving beyond brittle scripts toward frameworks that learn and adapt as products grow. Essential qualifications like two years of QA automation experience and hands-on exposure to GenAI are vital because the role demands not only technical command but also creativity and detective-like thinking to continually uncover unseen issues. A familiarity with CI/CD pipelines and startup-like agility are advantageous, reflecting the need to align tightly with rapid product development cycles. The role requires independent judgment on test prioritization, pattern recognition in defects, and a proactive mindset that thrives amid fast iteration and emerging AI tools. Overall, this position demands a blend of deep technical expertise, strategic foresight, and a pioneering attitude to shape the future of quality assurance.
Company Analysis:
Trilogy is a mature yet innovation-driven player specializing in acquiring and transforming software companies through an AI-first approach. Positioned at the intersection of software incubation and AI-enabled operational excellence, it’s clearly focused on leveraging cutting-edge technology and elite global talent to create efficient, scalable solutions. This approach means employees, especially within engineering, must be comfortable working at the frontier of AI application—not just maintaining legacy processes. The culture appears to prize relentless talent pursuit, technological innovation, and impactful business reinvention, suggesting a high-performance, possibly demanding environment where adaptability and continuous learning are essential. Since Trilogy sources top-tier remote talent globally through Crossover, the working model likely emphasizes autonomy, self-motivation, and clear communication. This QA Automation Engineer role fits strategically into Trilogy’s bigger goal of embedding AI deeply into product and development operations—transforming QA from a necessary checkpoint into a predictive, embedded process that drives quality and efficiency. The role would likely have significant visibility due to its direct product integration and its alignment with the company’s AI-forward mission. Success, therefore, means not only technical delivery but also the ability to navigate and influence complex, cross-functional product teams to continuously evolve testing frameworks, reflecting Trilogy’s mission to incubate new technology with top talent that pushes boundaries.
