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Senior Python Engineer, Document App
PandaDoc — стабильная продуктовая компания с отличной репутацией, прозрачной культурой и сильным инженерным стеком. Удаленный формат работы и работа над ключевым доменом продукта делают эту вакансию крайне привлекательной.
Сложность вакансии
Роль требует глубоких знаний Python, AsyncIO и опыта работы с высоконагруженными системами (Kafka, Kubernetes). Необходимо уметь работать как с монолитной архитектурой, так и с микросервисами, что повышает планку требований к кандидату.
Анализ зарплаты
Зарплата в вакансии не указана, но для позиции Senior Python Engineer в компаниях уровня PandaDoc (Tier-1/Tier-2) рыночные вилки для кандидатов из Украины/Восточной Европы обычно выше средних по региону. Предлагаемый диапазон $5,000 - $7,500 является стандартом для опытных инженеров в продуктовых компаниях с доходом свыше $100M ARR.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Python Engineer position at PandaDoc. With over 6 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 Domain team. My background in optimizing PostgreSQL databases and working with message brokers like Kafka and NATS aligns perfectly with your current tech stack and the scale-related challenges mentioned in the posting.
Throughout my career, I have focused on building scalable, event-driven systems and have a solid grasp of DDD principles and AsyncIO. I am particularly drawn to PandaDoc's culture of transparency and its impressive milestone of $100M ARR. I am confident that my technical expertise in Python and Django, combined with my experience in maintaining high-quality standards in fast-paced environments, will allow me to make a significant impact on the reliability and evolution of your document platform.
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Описание вакансии
Senior 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 Senior 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 5+ years of development experience with Python
- Experience with any relational databases (SQL queries, migrations, optimization)
- Solid 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
- Extensive 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
- Tempo
- Mimir
- DDD
- Microservices
Возможные вопросы на собеседовании
Вакансия предполагает работу с крупным монолитом и микросервисами. Важно понимать, как кандидат планирует переход или взаимодействие между ними.
Расскажите о вашем опыте распила монолита на микросервисы: с какими основными сложностями вы сталкивались при разделении данных?
В стеке указан AsyncIO, что критично для производительности Python-приложений.
В каких ситуациях использование AsyncIO может быть избыточным или даже вредным для производительности приложения?
PandaDoc использует Kafka и NATS. Вопрос проверяет понимание гарантий доставки сообщений.
Как вы обеспечиваете консистентность данных в распределенной системе при использовании Kafka? Расскажите про паттерн Outbox.
Работа с документами подразумевает сложные структуры данных и частые запросы к БД.
Какие стратегии оптимизации PostgreSQL вы применяли для ускорения тяжелых аналитических или поисковых запросов?
Упоминается использование DDD (Domain-Driven Design).
Как вы определяете границы Bounded Contexts при проектировании доменной области документа?
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