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.
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