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QA Engineer, Open Source AI
Отличная возможность для QA-инженера войти в сферу AI в стабильной международной компании. Удаленный формат работы в LATAM и работа с open-source проектами делают вакансию очень привлекательной для профессионального роста.
Сложность вакансии
Роль требует не только классических навыков QA, но и понимания специфики AI-воркфлоу, работы с Jupyter Notebooks и умения тестировать код, созданный AI-агентами. Это делает позицию более сложной по сравнению со стандартным тестированием веб-приложений.
Анализ зарплаты
Зарплата в вакансии не указана, но для региона Латинская Америка (Аргентина, Колумбия, Мексика) на позиции Middle QA в международных компаниях рыночные показатели обычно варьируются от $2500 до $4500 в месяц. Учитывая специфику AI, компенсация может быть выше среднего по рынку.
Сопроводительное письмо
I am writing to express my interest in the QA Engineer position for Open Source AI at Backblaze. With a strong background in Python-based testing and a keen interest in the evolving AI ecosystem, I am excited about the opportunity to validate integrations that empower developers to build scalable AI pipelines using Backblaze B2 Cloud Storage. My experience in executing structured test plans and working with Jupyter notebooks aligns perfectly with your need for ensuring the reproducibility and reliability of AI workflows.
In my previous roles, I have focused on functional and integration testing of API-driven systems, often utilizing tools like pytest and Postman. I am particularly drawn to this role's emphasis on using AI coding agents and validating agent-generated code, as I believe these tools are essential for modern quality engineering. I am confident that my attention to detail and ability to document complex edge cases will contribute significantly to the stability and clarity of Backblaze's public-facing AI assets.
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Откликнитесь в backblaze уже сейчас
Присоединяйтесь к Backblaze и станьте экспертом на стыке облачных технологий и AI, обеспечивая качество open-source решений для разработчиков по всему миру!
Описание вакансии
About Backblaze
Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience, operational excellence, and product reliability.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a QA Engineer, Open Source AI to join our team!
About the Role:
We are seeking a QA Engineer to validate and ensure the reliability of open source AI integrations, frameworks, and example applications built on Backblaze B2 Cloud Storage. This is a hands-on role at the intersection of quality engineering and a fast-moving AI ecosystem, where the frameworks and applications you are testing are designed to support real AI workflows. This role is expected to actively use the latest AI coding agents and tools as part of everyday testing and validation work.
The primary objective is to execute structured testing across AI workflows, notebooks, frameworks, and integration examples to guarantee reproducibility, correctness, and production readiness. This includes validating end-to-end applications that demonstrate how B2 supports data ingestion, model storage, and retrieval across AI pipelines. This role requires continuous learning and ongoing evaluation of emerging AI frameworks and APIs as they evolve, and you will partner closely with Engineering and Product to ensure all public-facing assets meet high standards for stability, clarity, and usability.
What You’ll Do:
- Execute structured test plans across open source repositories, sample applications, SDK extensions, and AI workflow integrations.
- Perform functional, integration, and regression testing on frameworks, applications, notebooks, scripts, APIs, and reference implementations.
- Validate reproducibility of AI workflows in Jupyter and Google Colab environments.
- Test agent-generated code outputs to ensure correctness, determinism, and alignment with expected B2 usage patterns.
- Identify defects, edge cases, and environment inconsistencies; document findings clearly in Jira, GitHub, or other QA systems.
- Coordinate retest cycles with Engineering and confirm resolution of reported issues.
- Maintain baseline test scenarios aligned to common ICP workflows and real-world B2 storage use cases.
- Support CI validation processes to ensure ongoing test coverage across releases and updates.
Tools and Technologies:
- Python, Jupyter notebooks, Google Colab
- Backblaze B2 SDKs and REST APIs
- Jira, TestRail, GitHub Issues
- pytest or lightweight testing libraries
- GitHub Actions and CI pipelines
- API validation tools such as Postman
- Basic command-line workflows
The Right Fit:
- QA analyst or junior to mid-level QA engineer with strong technical understanding of AI workflows.
- Experience executing functional and regression tests in Python-based environments.
- Comfortable running notebooks, scripts, and example applications to validate expected behavior.
- Strong attention to detail and ability to perform repeatable validation cycles efficiently.
- Clear documentation and communication skills when reporting defects and edge cases.
- Familiarity with cloud storage concepts and API-driven systems.
- Exposure to AI workflows, agent-based systems, or data pipeline validation is preferred.
Why Backblaze:
- Ensure the reliability of open source AI integrations used by developers globally.
- Work at the intersection of AI, data workflows, and cloud storage.
- Collaborate closely with Engineering, Product, and Developer Experience teams.
- Competitive compensation and benefits.
- Remote-first culture supporting work-life balance.
At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.
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Навыки
- Python
- GitHub
- GitHub Actions
- CI/CD
- Jira
- REST API
- PyTest
- Postman
- Jupyter
- Cloud Storage
- Google Colab
Возможные вопросы на собеседовании
Проверка базовых навыков автоматизации и работы в среде, указанной в вакансии.
Опишите ваш опыт написания и запуска тестов на Python для проверки API или интеграций.
Вакансия напрямую связана с валидацией AI-процессов.
Как бы вы подошли к тестированию воспроизводимости результатов в Jupyter Notebook или Google Colab?
Роль предполагает использование AI-инструментов в работе.
Каков ваш опыт работы с AI-агентами для написания кода и как вы проверяете корректность сгенерированного ими кода?
Backblaze B2 — это облачное хранилище, и понимание его работы критично.
С какими проблемами консистентности данных вы сталкивались при тестировании облачных систем хранения?
Проверка навыков работы с CI/CD и инструментами контроля версий.
Как вы интегрируете свои тесты в GitHub Actions для обеспечения непрерывного качества open-source репозиториев?
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