Python Engineer – Distributed Systems & Data

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.