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.

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What will you do? Design and develop scalable Python services and REST/Graph QL 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 Rabbit MQ, Kafka, Redis, and Celery . Work with databases such as Click House, Postgre SQL, and Mongo DB , 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 Fast API, Django, or Flask . Experience working with Graph QL APIs . Hands-on experience with Docker . Experience with Apache Airflow and data/workflow orchestration. Experience with Click House or similar data-intensive database environments.

Experience with messaging technologies such as Rabbit MQ 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. xqbhyrx Familiarity with AI development tools such as Cursor or Claude Code is a plus.

📌 Python engineer (Arenas de Iguña)
🏢 Capitole
📍 Arenas de Iguña