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Middle Python Engineer, Document App
PandaDoc — стабильная компания с отличной репутацией, прозрачной культурой и сильным инженерным брендом. Удаленный формат работы и работа над ключевым доменом продукта делают эту вакансию очень привлекательной для Middle-разработчика.
Сложность вакансии
Роль требует уверенного владения Python и AsyncIO, а также опыта работы с высоконагруженными системами (Kafka, Kubernetes). Сложность заключается в необходимости работы как с монолитом, так и с микросервисами в быстрорастущем SaaS-продукте.
Анализ зарплаты
Зарплата в объявлении не указана, но для Middle Python разработчика в европейском регионе (Польша/Украина/Португалия) рыночный диапазон составляет от 3500 до 5500 евро. PandaDoc обычно предлагает конкурентоспособные условия, соответствующие верхним границам рынка для опытных инженеров.
Сопроводительное письмо
I am writing to express my strong interest in the Middle Python Engineer position at PandaDoc. With over 3 years of experience in Python development and a deep understanding of both monolithic and microservice architectures, I am excited about the opportunity to contribute to the Document App Track. My background in working with Django, PostgreSQL, and message brokers like Kafka aligns perfectly with your current tech stack.
In my previous roles, I have focused on building scalable systems and optimizing database performance, which I believe will be beneficial for managing the core document domain at PandaDoc. I am particularly drawn to your team's focus on high-quality standards and developer experience. Having worked extensively with AsyncIO and event-driven systems, I am confident in my ability to tackle the scale-related technical challenges mentioned in the job description.
I admire PandaDoc's culture of transparency and its impressive milestone of $100M ARR. I am eager to bring my technical skills and collaborative mindset to your remote-first team and help evolve the document platform to support new product capabilities.
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Описание вакансии
Software Engineer
Company description
At PandaDoc, we're building the future of documents.Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.
We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.
Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.
Currently, PandaDoc is seeking a Middle Python Engineer to join our Document App Track. The role is part of the Document Domain team, which owns one of the most critical components of our platform - the document itself. This team is responsible for the core functionality that powers document creation, editing, and management across the product. The responsibilities include improving reliability, maintaining high quality standards, and enhancing developer experience while evolving the document platform to support new product capabilities. You will also have a chance to contribute to the long term domain excellence strategy. Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.
In this role, you will:
- Contribute to the vision and the architecture of the key component of the application - Document domain
- Face and overcome multiple scale-related technical challenges
- Finding and addressing systematic issues to maintain low time-to-change for other developers with a high change-confidence level
Our stack:
- Microservice fleet around a large monolithic application in Django
- PostgreSQL, Redis, Memcached
- Python, Django
- Amazon Web Services
- Docker, Kubernetes
- Kafka, NATS
- AsyncIO
- Grafana Monitoring Stack: Loki, Tempo, Mimir, Grafana
About you:
- At least 3+ years of development experience with Python
- Experience with any relational databases (SQL queries, migrations, optimization)
- Experience with message queues (e.g. RabbitMQ, NATS, Kafka)
- Understanding of event-based systems and basics of DDD
- Strong understanding and experience in AsyncIO
- Good understanding of the development cycle from requirements analysis and deployment to application monitoring
- Hands-on experience in developing applications within both monolithic and microservice architectures
- Communicate effectively in English, both orally and in writing
Company Overview:
PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
- Competitive salary.
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
- Work schedule aligned withEU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within acollaborative, supportive team.
- Stable yet growing SaaS productoffering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
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Навыки
- Python
- Django
- PostgreSQL
- Redis
- Memcached
- Amazon Web Services
- Docker
- Kubernetes
- Kafka
- NATS
- asyncio
- Grafana
- Loki
- Prometheus
- DDD
Возможные вопросы на собеседовании
Вакансия предполагает работу с высоконагруженным ядром продукта, где производительность БД критична.
Расскажите о вашем опыте оптимизации сложных SQL-запросов в PostgreSQL. Какие инструменты вы использовали для профилирования?
В стеке указан AsyncIO, что важно для масштабируемости сервисов PandaDoc.
С какими типичными проблемами или 'подводными камнями' вы сталкивались при использовании AsyncIO в продакшене?
Компания использует Kafka и NATS для взаимодействия сервисов.
Как вы обеспечиваете гарантию доставки сообщений и обрабатываете дубликаты в событийно-ориентированных системах?
Упоминается работа с крупным монолитом на Django и микросервисами.
Каков был ваш опыт распила монолита на сервисы? Какие стратегии вы считаете наиболее эффективными для сохранения целостности данных?
Позиция подразумевает влияние на архитектуру и решение системных проблем.
Опишите случай, когда вы обнаружили системную проблему в коде или архитектуре. Как вы аргументировали необходимость изменений и каков был результат?
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