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Senior Python AI Software Engineer (Perm, Romania)
Отличная вакансия в известной международной компании с прозрачным процессом найма, хорошим пакетом льгот (бонусы, бюджет на обучение и обустройство дома) и возможностью работать удаленно. Единственный нюанс — необходимость периодических поездок в Лондон.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям Python, FastAPI и Pydantic, а также необходимостью иметь опыт работы с ИИ-инструментами. Процесс отбора включает живое кодирование и проверку навыков работы в распределенных командах.
Анализ зарплаты
Предлагаемая роль Senior Python Engineer в Румынии соответствует рыночным ожиданиям для международных компаний. Хотя точная сумма не указана, наличие годового бонуса и пособий на обучение/удаленную работу делает предложение конкурентоспособным по сравнению со средними показателями по региону.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Python AI Software Engineer position at Nearform. With over 6 years of experience in developing scalable Python applications and a deep expertise in FastAPI and Pydantic, I am confident in my ability to contribute to your team's mission of delivering intelligent digital solutions for global enterprises. My background includes extensive work with modern AI tools and a proven track record of building high-performance applications in agile environments.
I am particularly drawn to Nearform's collaborative, people-first approach and your commitment to technical excellence. Having worked extensively with cloud environments and CI/CD pipelines, I am well-equipped to handle the complexities of modernizing legacy systems and building breakthrough products. Furthermore, I am comfortable with the remote-first culture and am more than willing to travel to London as required to ensure successful project delivery and client alignment.
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Описание вакансии
Senior Python Software Engineer (Perm, Romania, Remote + Travel)
This is a permanent full time remote opportunity for those based in Romania. This role will require some occasional travel to London, UK.
About Nearform
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.
Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.
Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.
As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products.
Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.
About the Senior Python Engineer role
As a Senior Engineer at Nearform your main task will be designing & building applications using Python. However as you’ll likely work on a variety of projects your responsibilities may also include:
- Supporting component design, development and maintenance and taking responsibility for personal technical quality standards within the project team.
- Assisting with defining structured practices, especially in source code management, building and deployment.
- Designing and implementing data storage solutions.
- Optimising performance in applications for maximum speed and scalability.
- Getting feedback from users and clients, and building solutions for them.
- Assisting with the analysis of client requirements.
- Working with and supporting Technical Leaders in project execution and timely delivery.
- Collaborating with client teams.
What we are looking for in this person:
- Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 6 years’ commercial experience.
- Practical experience of delivering in an agile environment.
- Practical experience and knowledge of developing real-world solutions.
- Deep knowledge of the Python language.
- Strong experience using modern AI tools at multiple stages of the development cycle
- Deep understanding of Python frameworks, must include FastAPI and Pydantic.
- Deep understanding of versioning control tools - e.g. Git.
- Testing experience and familiarity with testing tools at all levels, unit, integration and end to end testing.
- Practical and real world experience working with databases and cloud environments.
- Experience with automation, CI and CD.
- Experience building software collaboratively using pull requests and code reviews
- Excellent communication and collaboration skills.
- Professional proficiency in English.
- Available to travel onsite to London, UK occasionally.
Benefits & Perks:
- + Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.
+ Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!
+ Paid Time Off Package - We offer an annual leave of 24 days plus public holidays. We also offer sick leave, marriage leave and many more.
+ Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in RON) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
+ Training and Development Allowance - We understand the importance of continuously learning so we offer an allowance of up to €1000 (equivalent in RON) you can use to upskill yourself.
Our Interview Process
- 1. Talent Call (30 mins via Zoom)
An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.
2. Technical Assessment (1 hour via Zoom)
A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment.
3. Hiring Manager Interview (45 mins via Zoom)
A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.
There may also be an additional interview with the client depending on the project
Ready to Join Us?
If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.
Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.
Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.
If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.
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Навыки
- Python
- FastAPI
- Pydantic
- Git
- CI/CD
- Agile
- Unit Testing
- Integration Testing
- Cloud Computing
- Artificial Intelligence
Возможные вопросы на собеседовании
Проверка глубины владения основным фреймворком, указанным в вакансии.
Как вы используете Pydantic для валидации данных в FastAPI и какие преимущества это дает по сравнению с обычными словарями Python?
Вакансия ориентирована на AI, поэтому важно понимать практический опыт кандидата.
Расскажите о вашем опыте интеграции современных ИИ-инструментов (например, LLM или LangChain) в цикл разработки ПО.
Роль предполагает работу с распределенными командами и клиентами.
Опишите ситуацию, когда вам приходилось переводить сложные бизнес-требования клиента в техническую архитектуру. С какими трудностями вы столкнулись?
Для Senior-позиции критически важно понимание качества кода.
Каков ваш подход к организации модульного и интеграционного тестирования в крупном проекте на Python?
Проверка навыков оптимизации, упомянутых в описании.
Какие стратегии вы используете для оптимизации производительности и масштабируемости приложений на Python при работе с большими объемами данных?
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