python developer for document workflows

PandaDoc provides an all-in-one document workflow automation platform that helps growing organizations create, manage, send, track, and e-sign digital documents such as proposals, quotes, and contracts. The platform supports more than 67,000 organizations worldwide.

• Design and evolve backend systems for real-time collaborative document editing serving 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 maintain consistent document state 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 through 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;
• Hands-on experience with message queues and event-driven architectures, including 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 through deployment and production monitoring;
• Actively use AI tools in daily workflow and critically evaluate their output;
• Demonstrate high ownership, proactively unblock yourself, and know when to escalate;
• Maintain a product mindset and focus on end-user impact;
• Care about reliability, observability, and maintainability after shipping;
• Communicate technical decisions to non-technical stakeholders and product tradeoffs to engineers;
• Work collaboratively while independently driving tasks;
• Communicate effectively in English, both orally and in writing;
• Nice to have: experience building or integrating AI agents, LLM-powered workflows, or agentic systems.

• Competitive compensation package and flexible contract arrangements tailored to location and experience;
• Work on a stable and growing SaaS product with significant ownership and professional development opportunities within Platform Engineering;
• Honest and open culture with constructive feedback;
• Strong work-life balance within a supportive distributed team;
• Offices in Warsaw, Lisbon, and Kyiv are available for visits.