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Appfire ищет опытного QA-инженера по автоматизации для разработки и поддержки автоматизации Playwright (UI и API) на крупных SaaS-продуктах. Ваша роль охватит настройку критериев качества, проектирование тестовых данных и оптимизацию CI/CD, работая с командами по всему миру.
Требуется сильный опыт с Playwright и JavaScript/TypeScript (или Python), а также способность наставлять коллег и использовать AI-инструменты для проектирования тестов и анализа падений.
At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We're a team of 800+ employees, working remotely across 28 countries. Our flagship products include: JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture.
Build and refactor critical Playwright automation (UI and API) and evolve shared patterns, standards, and quality gates across squads. Act as the primary technical escalation for unstable suites, CI bottlenecks, test data and environment issues, and critical-path regressions. Define and improve test data and environment patterns (isolation, parallelism, fixtures) so automation scales reliably in CI/CD. Advise on API, component-level, and E2E test strategy - layering, coverage, and what to automate - in collaboration with architects and engineering leads. Mentor QA engineers on Playwright, CI, and AI-assisted workflows (prompting, review, safe use of tools); champion reusable approaches team-wide. Work with DevOps and developers on shift-left testing, pipeline reliability, and maintainable test environments (Docker, modern CI/CD). Communicate quality trade-offs and risks to product and engineering leadership.
7+ years in QA/test engineering with a track record of evolving Playwright automation on large, long-lived SaaS products. Proven hands-on skills with Playwright (UI and API) and JavaScript/TypeScript and/or Python. Advanced daily use of AI-assisted development for test design, failure analysis, and coaching others; sound judgment on when human verification is required. Ability to diagnose and fix systemic quality issues (parallelism, test data, flakiness, pipeline design). Strong CI/CD experience running and improving automated suites and working with Docker in cloud-hosted delivery. Experience defining automation architecture and quality standards (framework patterns, gates, layering) used beyond a single squad. Excellent English and credibility with developers, architects, and leadership on risk and priorities.