At CAPITOLE, we’re growing and we’d love for you to grow with us. We are looking for a Python Engineer with strong experience in microservices, distributed systems, and data-intensive applications to join an international technology project.

What will you do?

- Design and develop scalable Python services and REST/GraphQL APIs.
- Build solutions based on microservices and event-driven architectures.
- Develop and maintain distributed workflows and data pipelines using Apache Airflow.
- Work with messaging and asynchronous processing technologies such as RabbitMQ, Kafka, Redis, and Celery.
- Work with databases such as ClickHouse, PostgreSQL, and MongoDB, focusing on performance and scalability.
- Containerize services with Docker and contribute to CI/CD and automated testing practices.
- Collaborate with Data, Engineering, Product, and Infrastructure teams on architecture and technical decisions.




- Work in a modern engineering environment where AI-assisted development and agentic systems are increasingly part of the development workflow.

What are we looking for?

- Strong professional experience developing with Python.
- Solid experience with microservices and event-driven/distributed architectures.
- Experience with Python frameworks such as FastAPI, Django, or Flask.
- Experience working with GraphQL APIs.
- Hands‑on experience with Docker.
- Experience with Apache Airflow and data/workflow orchestration.
- Experience with ClickHouse or similar data‑intensive database environments.
- Experience with messaging technologies such as RabbitMQ or Kafka.
- C1 English level and ability to work in a fully English‑speaking environment.
- Experience building AI agents or agentic systems will be highly valued.
- Familiarity with AI development tools such as Cursor or Claude Code is a plus.

#J-18808-Ljbffr

📌 Python Engineer (Madrid)
🏢 Capitole
📍 Madrid