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Senior Python Engineer
Отличная вакансия для опытного инженера: современный стек (Python, Kafka, Druid), работа с по-настоящему большими данными и прозрачные британские бенефиты. Удаленный формат работы добавляет привлекательности.
Сложность вакансии
Роль требует глубоких знаний в области распределенных систем и обработки больших данных (миллиарды строк). Необходим опыт работы с высокой конкурентностью и готовность разбираться в существующем коде на PHP для его миграции на Python.
Анализ зарплаты
Зарплата в вакансии не указана, но для Senior Python Engineer в Лондоне (или удаленно на UK компанию) рыночный диапазон составляет £80,000–£110,000 в год. Предложенные бенефиты (Bupa, пенсия, 25+ дней отпуска) соответствуют высокому уровню британского рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Python Engineer position at Partnerize. With over 7 years of experience in developing high-concurrency distributed systems and a deep mastery of Python, I am confident in my ability to contribute to your mission-critical data processing platforms. My background includes working with large-scale data sets and implementing fault-tolerant architectures, which aligns perfectly with your requirement for handling billions of daily events.
In my previous roles, I have successfully utilized Kafka, PostgreSQL, and Redis to build scalable backend services. I am particularly intrigued by Partnerize's API-first approach and the challenge of processing thousands of events per second in near real-time. Furthermore, my experience in refactoring legacy systems and my familiarity with Linux-based operations will allow me to seamlessly integrate into your engineering team and contribute to the ongoing evolution of your tech stack.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в partnerize уже сейчас
Присоединяйтесь к команде Partnerize и создавайте высоконагруженные системы, обрабатывающие миллиарды событий ежедневно!
Описание вакансии
Who We Are
At Partnerize, we're on a mission to transform the way businesses grow. We've built the leading partnership automation platform that empowers brands to discover, engage, and convert their audiences at scale. From affiliate marketing to influencer collaborations, we help our clients build and manage profitable partnerships that drive real results. We're a team of passionate problem-solvers who are dedicated to helping our clients win in the ever-evolving world of digital marketing.
Why Join Us
We're looking for passionate, talented people who want to be part of a winning team. At Partnerize, you'll find a culture of collaboration, innovation, and respect. We're guided by our core values, and we're committed to creating an environment where everyone can do their best work. We also offer a competitive salary, generous benefits, and a flexible work environment that allows you to thrive both personally and professionally. If you're ready to grow your career and make a difference, we'd love to hear from you.
The things you care about
At the heart of our platform we track performance marketing data and build a number of solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale! Our platform is powered by our REST APIs and everything is developed with an API-first approach.
The primary technologies we use are Python, PHP, JavaScript (React), and Kafka. Data is stored in MySQL, PostgreSQL, Druid and Redis. We are constantly evolving our platform and tools to take advantage of the ever-changing tech landscape. We deploy to production several times a day.
As a Python Software Engineer at Partnerize, you will:
- Be responsible for developing systems that process data at near real time for thousands of events per second, operating with data sets in the region of tens of billions of rows.
- Contribute towards mission critical systems for the business, helping us to scale our platform to meet the demands of our clients.
- Work closely with the lead architect to build services that are scalable, fault tolerant, and resilient.
- Write clean, well-tested and refactored code while keeping in mind maintainability and scalability of the system.
You are a seasoned Python software engineer with:
- Have a minimum of 5-7 years of robust professional software development experience, prominently utilising Python as the primary language, within a commercial setting.
- Demonstrate mastery of Python programming, encompassing an extensive understanding of Python libraries and frameworks, coupled with a track record of building distributed systems with a strong emphasis on high concurrency.
- Experience developing against large volumes of data and implementing systems that are fault tolerant, distributed, and horizontally scalable.
- Excellent written and verbal communication skills, for collaborating with team members and authoring technical documentation.
We hope you have:
- Hands-on experience with technologies like Kafka, MySQL, Postgres.
- Experience with processing financial data.
- Experience in reverse engineering and problem solving skills, specifically the ability to understand existing systems written in PHP to reimplement.
- An understanding of operational principles, specifically Linux based systems.
UK Benefits & Perks
- 25 days holiday in addition to bank holidays
- Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
- 5 extra 'Partnerize Parental Days' each year
- Private Medical Insurance through Bupa
- Enhanced pension contributions
- Cycle to Work scheme
- Eye Care Vouchers
- Life Assurance
- Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
- Regular company events and activities
Our Commitment to Diversity & Inclusion
We are committed to attracting, developing, and advancing our outstanding team members, regardless of race, ethnic identity, sexual orientation, religion, age, gender, gender identity, physical abilities, or any other dimension of diversity. We strive to foster an environment where people can be their authentic selves, raise concerns and innovate, all without fear; where they are treated fairly and respectfully, have equal access to opportunities and resources and can contribute fully to the organization’s success. Every individual in our business is expected to live this commitment without exception.
Privacy and data protection. The data collected as part of this application will be used for the recruitment process and any subsequent employment. You can find further information in Partnerize privacy policy here: https://partnerize.com/privacy-policy/
Notice to Recruiters and Staffing Agencies: To protect the interests of all parties, Partnerize will not accept unsolicited resumes from any source other than directly from a candidate or an approved vendor that has a written and signed agreement in place with Partnerize. Please do not contact or forward resumes to our company employees or locations. Any unsolicited resumes will be considered Partnerize property. Partnerize is not responsible for any charges or fees related to unsolicited resumes.
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Навыки
- Python
- Linux
- PostgreSQL
- Redis
- React
- Kafka
- Distributed Systems
- MySQL
- REST API
- PHP
- Druid
Возможные вопросы на собеседовании
Вакансия предполагает работу с миллиардами событий. Важно понимать, как кандидат обеспечивает отказоустойчивость при таких нагрузках.
Как бы вы спроектировали систему обработки данных, которая должна обрабатывать 10 000 событий в секунду с гарантией 'at-least-once' доставки?
В стеке упоминается Kafka. Нужно оценить практический опыт работы с брокерами сообщений.
Опишите ваш опыт масштабирования потребителей (consumers) в Kafka. С какими проблемами ребалансировки вы сталкивались?
В описании указано, что нужно переписывать системы с PHP на Python.
Какой подход вы выберете при миграции критически важного сервиса с PHP на Python, чтобы минимизировать простои и риски потери данных?
Работа ведется с огромными таблицами (десятки миллиардов строк). Знание оптимизации БД критично.
Какие стратегии оптимизации запросов и хранения вы бы применили в PostgreSQL или MySQL при работе с таблицами объемом в несколько терабайт?
Senior-позиция подразумевает ответственность за качество кода и архитектуру.
Как вы организуете процесс тестирования и code review для систем, где ошибка в логике может привести к финансовым потерям?
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