python developer for collaborative documents

PandaDoc provides an all-in-one document workflow automation platform that helps growing organizations create, manage, send, track, and e-sign proposals, quotes, contracts, and other digital documents. The company serves more than 67,000 organizations worldwide and focuses on efficient, collaborative document workflows.

• Design and evolve backend systems powering real-time collaborative document editing for tens of thousands of concurrent users;
• Own the content model and data persistence layer, including schema design, migrations, compatibility, and long-term maintainability;
• Build and maintain event-driven pipelines with Kafka and NATS to 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;
• Contribute to AI-powered capabilities, including agentic document workflows.

• 5+ Years of Python development experience in production environments;
• Strong experience with relational databases, SQL, schema design, migrations, and query optimization;
• Solid hands-on experience with message queues and event-driven architectures such as Kafka, NATS, RabbitMQ, or similar;
• Deep understanding of AsyncIO and concurrent systems;
• Experience building and operating microservice architectures at scale;
• Ability to reason about distributed systems, consistency, ordering, and failure modes;
• Understanding of the full development lifecycle, from requirements to deployment and production monitoring;
• Active use of AI tools with critical evaluation of their output;
• High ownership and ability to proactively unblock work and escalate when needed;
• Product-minded and customer-oriented approach;
• Focus on reliability, observability, and maintainability after release;
• Clear written and spoken communication with technical and non-technical stakeholders;
• Ability to collaborate while driving work independently;
• English communication skills, both orally and in writing;
• Nice to have: experience building or integrating AI agents, LLM-powered workflows, or agentic systems.

• Global, remote-first work with optional visits to offices in Warsaw, Lisbon, or Kyiv;
• Stable and growing SaaS product with an agile environment, significant ownership, and professional development opportunities;
• Honest and open culture with constructive feedback and work-life balance;
• Supportive distributed team;
• Competitive compensation package;
• Flexible contract arrangements tailored to location and experience.