• Design comprehensive test architecture – plan unit, integration, E2E, and semantic validation test suites that cover the full pipeline from profile intake through roadmap generation; define coverage targets and acceptance criteria • Build semantic validation harnesses for AI outputs – design golden-set test cases (5–8 CISO-approved reference profiles) that measure AI stage precision/recall, rigor-tier correctness, floor-control invariants, traceability completeness, and run-to-run stability; a semantic regression blocks merge • Implement access-control testing – design automated probes at API and database layers that verify cross-tenant isolation; simulate compromised sessions and verify RLS policies enforce tenant boundaries • Design and maintain CI/CD quality gates – build automated test runners that execute on every commit: unit tests, integration tests, schema validation, migration guards, image scanning, access-control probes; red builds block merge • Lead test automation practices – expand automation frameworks and practices; identify opportunities for improving test processes; recommend tools and technologies for testing efficiency • Collaborate across the team – serve as the QA voice in technical design reviews; flag testability issues early; work with the AI/LLM Lead to define what "correct" means for each pipeline stage • Mentor junior test engineers – guide the team on test design, semantic validation, and CI/CD best practices; share knowledge on testing AI systems where reproducibility is critical • Own test documentation and reporting – maintain clear test plans, results, and traceability matrices; report test coverage and quality metrics to leadership; communicate blockers and risks transparently

• Design comprehensive test architecture – plan unit, integration, E2E, and semantic validation test suites that cover the full pipeline from profile intake through roadmap generation; define coverage targets and acceptance criteria • Build semantic validation harnesses for AI outputs – design golden-set test cases (5–8 CISO-approved reference profiles) that measure AI stage precision/recall, rigor-tier correctness, floor-control invariants, traceability completeness, and run-to-run stability; a semantic regression blocks merge • Implement access-control testing – design automated probes at API and database layers that verify cross-tenant isolation; simulate compromised sessions and verify RLS policies enforce tenant boundaries • Design and maintain CI/CD quality gates – build automated test runners that execute on every commit: unit tests, integration tests, schema validation, migration guards, image scanning, access-control probes; red builds block merge • Lead test automation practices – expand automation frameworks and practices; identify opportunities for improving test processes; recommend tools and technologies for testing efficiency • Collaborate across the team – serve as the QA voice in technical design reviews; flag testability issues early; work with the AI/LLM Lead to define what "correct" means for each pipeline stage • Mentor junior test engineers – guide the team on test design, semantic validation, and CI/CD best practices; share knowledge on testing AI systems where reproducibility is critical • Own test documentation and reporting – maintain clear test plans, results, and traceability matrices; report test coverage and quality metrics to leadership; communicate blockers and risks transparently

• Design comprehensive test architecture – plan unit, integration, E2E, and semantic validation test suites that cover the full pipeline from profile intake through roadmap generation; define coverage targets and acceptance criteria • Build semantic validation harnesses for AI outputs – design golden-set test cases (5–8 CISO-approved reference profiles) that measure AI stage precision/recall, rigor-tier correctness, floor-control invariants, traceability completeness, and run-to-run stability; a semantic regression blocks merge • Implement access-control testing – design automated probes at API and database layers that verify cross-tenant isolation; simulate compromised sessions and verify RLS policies enforce tenant boundaries • Design and maintain CI/CD quality gates – build automated test runners that execute on every commit: unit tests, integration tests, schema validation, migration guards, image scanning, access-control probes; red builds block merge • Lead test automation practices – expand automation frameworks and practices; identify opportunities for improving test processes; recommend tools and technologies for testing efficiency • Collaborate across the team – serve as the QA voice in technical design reviews; flag testability issues early; work with the AI/LLM Lead to define what "correct" means for each pipeline stage • Mentor junior test engineers – guide the team on test design, semantic validation, and CI/CD best practices; share knowledge on testing AI systems where reproducibility is critical • Own test documentation and reporting – maintain clear test plans, results, and traceability matrices; report test coverage and quality metrics to leadership; communicate blockers and risks transparently

• Design, develop, and maintain API automation using Playwright • Build and maintain mobile automation frameworks using WebDriverIO • Develop scalable automation solutions using JavaScript and TypeScript • Validate REST APIs, authentication flows, and token management processes • Integrate automated testing into CI/CD pipelines to improve software quality and delivery • Lead QA automation initiatives and promote automation best practices across engineering teams • Mentor QA engineers and contribute to the continuous improvement of automation frameworks and testing processes • Collaborate closely with developers, Product teams, and stakeholders to ensure high-quality software delivery