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Роль сочетает понятное техническое лидерство в автоматизации тестирования и performance engineering с практической работой над ИИ-процессами, но контракт на год не даёт долгосрочной определённости.
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Тестирование ИИ
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Automation AI Tester (Test Automation/AI): Leading automation and performance engineering while building AI-enabled agentic workflows for software testing and quality improvement with an accent on UI, API, integration, end-to-end, and performance testing. Focus on evaluating LLM-based agents, integrating automated tests into CI/CD pipelines, diagnosing bottlenecks, and applying reliability, privacy, security, and human-review controls.
Location: Plano, TX, US; onsite at the office 3 days per week
Lead automation, performance, and AI-enabled quality engineering strategy.
Design and develop maintainable automated frameworks for UI, API, integration, and end-to-end testing.
Establish load, stress, endurance, scalability, and performance engineering practices; identify bottlenecks and drive remediation.
Build agentic workflows for testing, triage, test-data preparation, defect analysis, and other quality engineering processes.
Integrate automated tests and AI workflows into CI/CD pipelines, define quality gates, metrics, and release-readiness reporting.
Guide test planning, risk assessment, test-data and environment strategy, collaborate across engineering and product teams, and mentor engineers.
Requirements
10+ years of experience in software testing, quality engineering, and test automation, including substantial technical leadership.
Experience building and scaling automation frameworks for APIs and web applications.
Strong programming or scripting skills in Java, Python, JavaScript/TypeScript, C#, or another applicable language.
Practical experience with Playwright, Selenium, Cypress, REST Assured, Postman, JMeter, Gatling, or equivalent tools.
Experience designing performance tests, interpreting results, and driving remediation.
Hands-on knowledge of AI/LLM applications and building agentic workflows with tool use, orchestration, and API or enterprise-system integrations.
Ability to evaluate AI-generated results and address reliability, privacy, security, and human review in AI-enabled workflows.
Experience with CI/CD systems and integrating automated testing into delivery pipelines.
Strong understanding of test strategy, software development lifecycle, defect management, quality metrics, team leadership, mentoring, and cross-team influence.
Culture & Benefits
One-year contract engagement.
Onsite collaboration in the Plano office three days per week.
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