About PandaDoc
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, 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.
The Team
We're looking for a Senior Python Engineer to join our Content engineering team, responsible for one of the most complex and impactful areas of the PandaDoc platform. We own the content model, the editor backend, data persistence, and the real-time collaboration infrastructure that allows multiple users to edit a document simultaneously with consistency and reliability. Our backend processes a continuous stream of events from the frontend, translating user interactions into consistent, durable state across a distributed fleet of services and a high volume of concurrent sessions.
What you'll work on
- Design and evolve the backend systems that power real-time collaborative document editing for tens of thousands of concurrent users
- Own the content model and data persistence layer: schema design, migrations, compatibility, and long-term maintainability as the product grows
- Build and maintain event-driven pipelines (Kafka, NATS) that process high volumes of frontend interactions and keep document state consistent across services
- Contribute to the reliability, observability, and operational excellence of a large fleet of Python microservices
- Ship product features end-to-end, from backend architecture to production monitoring, and care about how they behave after they ship
- Contribute to our growing investment in AI-powered capabilities, including agentic document workflows
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.
What We Offer
- Global & Flexible Work: We’re a global, remote-first company, but we welcome you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv to connect with colleagues whenever it suits you.
- Ownership & Growth: Work on a stable yet growing SaaS product, offering an agile environment, significant ownership, and a clear path for professional development within the Platform Engineering domain.
- Culture & Balance: Enjoy an honest, open culture that values constructive feedback and promotes a strong work-life balance within a supportive, distributed team.
- Compensation: Competitive compensation package and flexible contract arrangements tailored to your location and experience (If you are located in Poland the salary range is 275000 - 413000 PLN gross annually)
Technical
- 5+ years of Python development experience in production environments
- Strong experience with relational databases: SQL, schema design, migrations, query optimization
- Solid hands-on experience with message queues and event-driven architectures (Kafka, NATS, RabbitMQ or similar)
- Deep understanding of AsyncIO and concurrent systems
- Experience building and operating microservice architectures at scale
- Comfortable reasoning about distributed systems: consistency, ordering, failure modes
- Understanding of the full development lifecycle, from requirements to deployment to production monitoring
- Nice to have: experience building or integrating AI agents, LLM-powered workflows, or agentic systems
Mindset & soft skills
- AI-first: You actively use AI tools in your daily workflow and apply critical thinking to evaluate their output. You see AI as a force multiplier, not a shortcut.
- High ownership: You understand the full scope of what you're working on, proactively unblock yourself, and know when to escalate. You don't wait to be told there's a problem.
- Product-minded and customer-oriented: You care about the end user. You think about the impact of what you're building, not just the correctness of the implementation.
- Operationally excellent: You care about what you ship after it ships. Reliability, observability, and maintainability are not afterthoughts.
- Communicative: You write and speak clearly. You can explain a technical decision to a non-technical stakeholder and a product tradeoff to an engineer.
- Collaborative but autonomous: You thrive as part of a team while being fully capable of driving work independently. You ask for help when you need it, and you know when that is.
Language
- Communicates effectively in English, both orally and in writing
