4 дня назад
Quality Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quality Engineer (AI): Building automation-first quality engineering workflows with an accent on Playwright, GitHub CI/CD, AI coding agents, and risk-based test strategies. Focus on designing agentic testing systems, developing reusable automation frameworks, reducing flakiness, and improving release confidence.
Location: Remote
Company
is hiring for a unified Quality Engineering function embedded within engineering squads.
What you will do
- Design risk-based test strategies for features and releases and convert them into automated coverage.
- Build and maintain Playwright test suites integrated with GitHub Actions and CI/CD quality gates.
- Design agentic testing workflows using AI models and APIs to generate, adapt, and maintain tests.
- Develop reusable automation frameworks, utilities, shared libraries, and AI-powered testing tools.
- Partner with engineers, product managers, and designers to identify risks early and embed quality throughout delivery.
- Improve test-suite health, automation coverage, execution speed, flakiness rates, and release confidence.
Requirements
- Strong software engineering fundamentals, including code review, validation, and debugging across modern programming languages.
- Strong experience with modern test automation frameworks, preferably Playwright.
- Experience using AI coding agents as a primary development partner for generating, reviewing, debugging, refactoring, and maintaining code.
- Experience building scalable automation frameworks and integrating automated tests into CI/CD pipelines using GitHub Actions or similar platforms.
- Experience with agentic testing frameworks, AI-powered testing tools, or LLM API integrations.
- Understanding of quality engineering, test strategy, risk analysis, defect prevention, and cross-functional collaboration.
Nice to have
- Experience testing AI-powered products, agents, or LLM-based applications.
- Experience designing evaluation frameworks for AI-generated outputs.
- Familiarity with prompt engineering, AI quality assessment, or AI observability.
- Experience with performance, load, or resilience testing.
- Experience building internal developer platforms, testing tools, or engineering productivity solutions.
Culture & Benefits
- Automation-first and AI-native quality engineering practices.
- Quality is treated as an engineering discipline rather than a gatekeeping function.
- Embedded collaboration within cross-functional product squads.
- Emphasis on enabling developers to write, execute, and maintain automated tests in their daily workflow.
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