QA Automation Engineer (Backend/API) (Java)

Образование

• Высшее техническое образование (ИТ).

Опыт работы

• Опыт работы в области тестирования от 3 лет;
• Опыт работы в функциональном тестировании не менее 3 лет;
• Опыт работы с системами автоматизированного тестирования (Selenium, Playwright) от 3 лет; HP UFT / Test Complete / IBM RR — плюс (legacy);
• Опыт разработки централизованных фреймворков тестирования (в одной из версий ДИ — используемых более чем в 5 командах);
• Опыт работы в роли лида тестирования или наставника от 1 года;
• Опыт работы в качестве менеджера по организации тестирования / руководителя группы тестирования (по версии ДИ «Н-ие тестирования»).

Знания и профессиональные навыки

• Навыки проведения ручного и организации автоматизированного тестирования, написание сценариев тестирования по функциональным требованиям и типовым процессам;
• Знание теории процессов тестирования, умение применять эти знания на практике;
• Разработка автоматизированных интеграционных тестов на Java или Python (Selenium/Selenide, Playwright); проектирование фреймворков автоматизации;
• Навыки декомпозиции задач на разработку автотестов и проведения автоматизированного тестирования;
• Опыт использования инструментов тестирования веб-сервисов и тестирования API — Soap UI, Postman, Katalon Studio;
• Навыки проведения и координации функционального, интеграционного, регрессионного и автоматизированного тестирования;
• Навыки в тестировании интеграционных продуктов;
• Знания процессов производства и методик тестирования;
• Знание методологий разработки ПО: Agile/Scrum/Kanban; понимание каскадной модели;
• Гибкие фреймворки Scrum, Kanban; навыки тестирования в командах с гибкой моделью разработки;
• Навыки работы с системами багтрекинга;
• Навыки работы с таск-трекерами и системами управления тестирования (Jira/Kaiten, HP ALM, TSM);
• Навыки разработки тестовой модели;
• Навыки написания сложных SQL-запросов; опыт работы с PostgreSQL / Oracle;
• Навыки работы с системами версионного контроля (Git, SVN);
• Навыки работы с программами удалённого доступа по протоколам RDP/SSH;
• Понимание клиент-серверной архитектуры: HTTP/HTTPS, REST/SOAP, форматы XML/JSON;
• Навыки работы с Web-технологиями, DevTools браузера (отладка, вкладка Network, консоль);
• Настройка запуска автотестов в CI/CD (GitLab CI);
• Поддержка системы: чтение и анализ логов приложений, работа с дашбордами мониторинга (Grafana и аналоги);
• Опыт развёртывания тестовых окружений, Docker — плюс;
• Навыки работы с ОС Windows и *nix.

Знание программного обеспечения

• Инструменты управления базой знаний;
• Инструменты управления базами данных;
• Инструменты для работы с логами;
• Инструменты для тестирования и работы с API;
• Инструменты автоматизации.

Знание языков

• Английский язык, уровень B1: чтение технической документации, деловая переписка.

Деловые качества

• Целеустремлённость;
• Решительность;
• Стрессоустойчивость;
• Коммуникабельность;
• Инициативность;
• Системный подход к решению проблем;
• Способность к отслеживанию причинно-следственных связей;
• Умение убеждать;
• Умение работать в команде;
• Стремление к самосовершенствованию.

Description

Nebius Academy is an international online learning platform helping engineering teams master AI and cloud technologies. We build hands-on, industry-relevant programs for B2B audiences — combining deep technical expertise with real-world application.

Our QA curriculum focuses on AI-assisted quality engineering: how to use modern AI tools to write smarter tests, automate faster, and build more reliable mobile and backend products.

Who are we looking for?

We are building a talent pool of experienced QA engineers and technical experts for ongoing roles as Instructors, Authors, and Subject Matter Experts in our AI-assisted QA educational program.

We are looking for specialists across the following areas: Kotlin, Swift, Java, Python, JavaScript/TypeScript, Mobile QA (Android / iOS), and other languages with a QA focus.

A strong candidate doesn't just know their stack deeply — they actively use AI-assisted QA tools in their daily workflow. We prioritize hands-on experience with tools such as Cursor, testRigor, Magic Inspector, Rainforest QA, AI-powered test generation, agentic workflows, MCP ecosystem integrations, or similar. The ability to teach others how to integrate these tools into real QA practice is what sets our experts apart.

These are Talent Pool positions — we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise.

You can join us on a part-time basis (~10–15h/week), contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development. Teaching sessions are compensated separately.

Compensation: $40–80/hour, depending on experience and format of collaboration.

Our selection process is fully asynchronous and designed to respect your time:

1. Application Review — we evaluate your profile against our current needs
2. Async Video Interview — a short self-recorded interview (10–15 minutes max)
3. Test Assignment — approximately 1 hour to complete
4. Talent Pool — finalists are added to our active roster of vetted experts
5. Hiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our team
6. Offer — we extend an offer for a relevant position upon successful completion of the process

Apply now — we review applications on an ongoing basis.

Please submit your resume in English.

What you will do

Available Roles

We are building a talent pool of Instructors, Authors, and Subject Matter Experts for our AI-assisted QA educational programs. We hire on an ongoing basis across the following specializations:

Most in demand: AI for Manual QA, AI for Automated Testing, AI for Mobile QA (Kotlin / Android / iOS) Also relevant: other languages and QA domains

Depending on your expertise, you may:

• Deliver live workshops and training sessions
• Create educational content, assessments, and project-based learning materials
• Design practical exercises, guides, prompts, and reference resources
• Help define curriculum structure, learning objectives, and competency frameworks
• Review content for technical accuracy and industry relevance
• Share insights on AI tools, workflows, and emerging trends
• Collaborate with instructional designers and curriculum teams to continuously improve learning outcomes
• Support program updates based on learner feedback and market needs

Areas of involvement

• Instructor — leads live sessions, workshops, and learner interactions.
• Author — creates course content, lessons, assessments, and projects.
• Subject Matter Expert — shapes curriculum strategy, competency frameworks, and program direction.

⌛ All roles are part-time: 10–15 hours per week.

Requirements

• 5+ years of experience in QA Engineering, with a strong focus on mobile QA (Android/iOS), test automation, or AI-assisted quality engineering
• Solid knowledge of one or more of the following: Kotlin, Swift, Java, Python, JavaScript/TypeScript
• Hands-on experience with AI-assisted QA tools such as Cursor, testRigor, Magic Inspector, Rainforest QA, MCP ecosystem integrations, agentic workflows, or similar, with real implementation experience and measurable impact
• Strong ability to share knowledge through content creation, training, mentoring, or facilitation, making complex QA concepts clear, practical, and engaging for learners
• Ability to work independently with strong ownership and minimal supervision
• Strong attention to detail
• Availability to collaborate within European time zones
• Ability to dedicate approximately 10–15 hours per week
• Fluent English (written and spoken); Russian or Spanish is a strong plus
• Background in QA advocacy, tech leadership, mentoring, conference speaking, or technical community engagement is a plus

Nice-to-have

• Strong expertise in QA Engineering, Test Automation, or AI-assisted Quality Engineering
• Ability to evaluate real-world AI/QA tools, testing architectures, and workflows, distinguishing practical approaches from hype
• Experience creating competency maps, skill frameworks, learning roadmaps, or curriculum structures
• Ability to review technical learning content and provide structured feedback

What we can offer you

• The opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current role
• Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
• Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement
• Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds
• Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content
• Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption
• Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader