Senior Python Engineer, Document App (Content Engineering Team)

Pandadocsenior

In short

▸Ingeniero Python senior que construye sistemas de edición colaborativa en tiempo real para documentos.
▸Trabajas en el modelo de contenido, persistencia de datos y pipelines de eventos con alta escalabilidad y consistencia.
▸Destaca el enfoque en calidad, operaciones y la integración de capacidades de IA en documentos.

Proficiency in English is required for collaboration across global teams.

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What they ask for

✓5+ años de experiencia en Python en entornos de producción
✓Experiencia sólida con bases de datos relacionales: SQL, diseño de esquemas, migraciones
✓Experiencia práctica con arquitecturas orientadas a eventos (Kafka, NATS)
✓Dominio profundo de AsyncIO y sistemas concurrentes
✓Experiencia en microservicios a gran escala
✓Capacidad para razonar sobre sistemas distribuidos: consistencia, ordenación, modos de fallo

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PythonPostgreSQLRedisKafkaNATSAsyncIODockerKubernetesAWSGrafana stack (Loki, Tempo, Mi

Who should you write to at Pandadoc?

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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. 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. 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. We ship product features and maintain the systems that underpin them. Product mindset and operational excellence are not in tension here: we expect engineers who care equally about moving the product forward for customers and about the long-term health and reliability of what they build. 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 Our stack • Core language: Python • Relational + caching: PostgreSQL, Redis • Messaging & events: Kafka, NATS • Async programming: AsyncIO throughout • Infrastructure: Docker, Kubernetes, AWS • Observability: Grafana stack (Loki, Tempo, Mimir) About you 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

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