Python Engineer – AI Document Generation

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 the life of the clients more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people worldwide, 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 while also staying focused on stability, quality, and performance.

Our Engineering team consists of about 200 diverse and talented individuals who are 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.

Ready to shape the future of Document Creation at PandaDoc?

We are investing heavily in our Document and Editor domain – the core of PandaDoc’s product experience. To bring our ambitious vision to life, we are building a brand-new team of 5 engineers dedicated to enhancing our Document, redesigning the user experience, and delivering groundbreaking product features.

As a Python Engineer in our newly-formed team, you will have the opportunity to directly impact thousands of users by working on the most challenging and strategic part of our product. You’ll collaborate closely with our existing Content, Document, and Java team, which own and maintain key aspects of the Editor, Document Management, and PDF Generation.

This is an exciting opportunity to take ownership of impactful projects, drive innovation, and influence the future of our editing experience. Your work will be essential in bringing our vision of a modern, intuitive, and powerful Document domain to life.

LocationOur team is distributed across Europe, with a strong presence in Poland and Portugal. We embrace remote work and flexible arrangements.

Our stack:

• Service-oriented architecture
• Editor-related Python services are primarily written using AsyncIO frameworks and libraries, but we also have in ownership some Django-based services
• We aim to use the latest versions of every dependency
• AWS and K8S are used extensively for provisioning and deploying workloads
• The main cross-service communication transports:
• NATS is our main RPC transport, but we’re migrating to gRPC to eliminate the single point of failure with NATS
• Kafka and Debezium for event-based operations
• RabbitMQ is a transport for Celery, but we look forward to migrating to Temporal.io
• Temporal.io as a new promising solution
• Websocket for communication with frontend
• Storage:
• PostgreSQL, Redis, S3
• LGTM stack for monitoring

About you:

• At least 3+ years of development experience with Python
• Care about quality; you know what shipping high-quality code means
• Experience with any relational databases (SQL queries, migrations, optimization)
• Experience with message queues (e.g., RabbitMQ, Kafka)
• Experience with Amazon Web Services and Kubernetes
• Hands-on experience in developing a service-oriented architecture
• Hands-on experience with CI/CD (e.g., GitLab)
• It is good to have experience with the LGTM stack and OpenTelemetry
• It is good to have open-source contributions and experience
• It is good to have experience with the event sourcing approach
• English: upper intermediate+ (verbal and written)

Company Overview:

PandaDoc empowers more than 37,000 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.