16 часов назад
Senior QA Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior QA Engineer (AI): Leading manual and automated quality assurance for complex platform features across multiple environments with an accent on exploratory testing, API validation, CI/CD coverage, and AI-powered QA workflows. Focus on integrating test-generation and log-analysis tools, investigating performance and production behavior, and mentoring junior QA engineers.
Location: Russia; hybrid workplace
Company
provides commerce tools and services that help video game developers fund, distribute, market, and monetize games.
What you will do
- Lead manual, exploratory, regression, and end-to-end testing of complex features across multiple environments.
- Identify, document, and track reproducible defects using bug-tracking tools such as Jira.
- Analyze production logs and real-user behavior to identify quality gaps proactively.
- Create and maintain test cases, checklists, and QA documentation.
- Collaborate with engineering and DevOps teams on CI/CD coverage, test environments, staging pipelines, and deployment readiness.
- Evaluate AI-powered testing tools, conduct load and stress testing, advocate for quality during delivery cycles, and mentor junior QA engineers.
Requirements
- Professional experience in software QA or testing with ownership of end-to-end quality.
- Strong knowledge of manual testing methodologies and the defect life cycle.
- Experience with Playwright, Cypress, or Selenium for automated test development.
- Practical API validation experience with Postman, plus understanding of backend technologies and APIs and familiarity with PHP or related languages.
- Experience with CI/CD pipelines, Linux environments, Bash scripting, Git, browser developer tools, and command-line usage.
- Strong verbal and written English communication skills required; AI-powered testing experience is required.
Culture & Benefits
- Fast-paced, agile engineering environment focused on proactive quality ownership.
- Opportunity to use AI for test generation, smart test prioritization, log analysis, visual regression, and bug triage.
- Collaboration across engineering, DevOps, sprint planning, review, and release activities.
- Role scope may evolve to support organizational goals and individual growth.
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