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Software Engineer in Test - QA

Оценка ИИ

Dataiku — один из лидеров в области AI-платформ с отличной инженерной культурой и современным стеком. Возможность удаленной работы из нескольких стран Европы и работа с передовыми технологиями (LLM, Big Data) делают эту вакансию крайне привлекательной.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует не только навыков автоматизации (Python, Selenium), но и понимания сложных экосистем Big Data и облачных платформ. Процесс найма включает техническое домашнее задание и несколько этапов интервью с руководством, что повышает планку входа.

Анализ зарплаты

Медиана65 000 €
Рынок55 000 € – 80 000 €
Оценка ИИ

Зарплата для SDET в Париже в компаниях уровня 'единорог' обычно выше среднего по рынку. Указанный диапазон соответствует ожиданиям для опытных инженеров в технологическом секторе Франции.

Сопроводительное письмо

I am writing to express my strong interest in the Software Engineer in Test position at Dataiku. With a solid background in software test engineering and a focus on automation using Python and Pytest, I am impressed by Dataiku's commitment to integrating complex data science technologies into a seamless platform. My experience in building robust API and UI testing frameworks aligns perfectly with your mission to deliver high-quality products to enterprise customers.

Throughout my career, I have championed the philosophy that close collaboration between developers and QA is essential for a successful testing strategy. I am particularly excited about the opportunity to work with your modern tech stack, including Angular, Spark, and AWS, and to contribute to the improvement of your CI/CD infrastructure. My familiarity with containerization and cloud services would allow me to make an immediate impact on your automated test suites and deployment pipelines.

Dataiku’s reputation as a central orchestration layer for AI is inspiring, and I am eager to bring my technical skills and mentoring experience to your team. I look forward to the possibility of discussing how my expertise in Object-Oriented programming and big data ecosystems can support Dataiku's continued success in the evolving world of AI.

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Присоединяйтесь к лидерам в сфере AI и создавайте будущее автоматизации тестирования вместе с Dataiku!

Описание вакансии

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies,  and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

How you’ll make an impact

This position is either onsite from Paris, London, Berlin and Amsterdam or remote from these countries.

As a Software Developer Engineer in Test (SDET), your mission will be to ensure that we only deliver highest-quality products to our customers. You will play a crucial role in our success by helping our users have the best possible experience.

Dataiku's platform is built on modern Web technologies (single page webapp with Angular/AngularJS) and integrates with a very large ecosystem of big data technologies (Spark, Hadoop, MPP databases, Cloud services, ...).

Our software testing stack is based on Python, Pytest, Selenium, and Allure for the integration tests. Our CI is based on Jenkins with intensive usage of AWS’s features.

At Dataiku, developers are involved in writing part of the automated integration tests together with the QA team.

Here's a taste of how you can help the team:

  • Coding advanced automated test suites to exercise our applications at all levels
  • Defining manual testing plans, test strategies and define priorities
  • Working with the developers to ensure that they deliver testable code
  • Improving existing test infrastructure and frameworks (virtual machines, containers, auto-provisioning, UI testing, ...)
  • Mentoring and helping new QA team members

What you need to be successful

  • You have experience in software test engineering with a significant part in automation (API and/or UI Testing)
  • You think collaborating with developers is the key for a good testing strategy
  • You have worked with at least one Object Oriented language (such as Python, Java, C#, or C++)
  • You discuss choices before implementing them

What will make you stand out

  • Experience with big data technologies, such as Hadoop, Spark, or Kubernetes
  • Experience with cloud platforms such as AWS, Azure, and GCP
  • Basic knowledge of Machine Learning

What does the hiring process look like?

  • Initial call with a member of our Technical Recruiting team
  • Peer interview with two members of the team
  • A take-home test to show your skills
  • Debrief of your technical test with the VP of Test Engineering
  • Final Interview with a VP of Engineering  #LI-Remote

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com


Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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Навыки

  • Python
  • PyTest
  • Selenium
  • Allure
  • Jenkins
  • AWS
  • Angular
  • Spark
  • Hadoop
  • Kubernetes
  • Docker
  • API Testing
  • UI Testing

Возможные вопросы на собеседовании

Проверка навыков проектирования архитектуры тестов и умения работать с ООП.

Как бы вы спроектировали расширяемый фреймворк для автоматизации тестирования UI на Python для платформы с множеством интеграций?

Dataiku работает с большими данными, важно понимать специфику их тестирования.

В чем заключаются основные сложности при тестировании интеграций с такими технологиями, как Spark или Hadoop?

Вакансия подчеркивает важность взаимодействия QA и разработки.

Опишите ваш опыт внедрения практик тестирования на ранних этапах разработки (Shift-left testing) в кросс-функциональной команде.

Проверка навыков работы с инфраструктурой и CI/CD.

Как вы используете Docker и облачные сервисы (например, AWS) для оптимизации времени выполнения регрессионных тестов?

Оценка способности кандидата влиять на качество продукта через код.

Приведите пример, когда вы обнаружили критическую проблему в архитектуре приложения на этапе ревью требований или кода, и как вы предложили её решить?

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