Python Engineer - Distributed Systems & Data

Descripción del trabajo

Antes de solicitar este puesto, por favor, lea la siguiente información sobre esta oportunidad que encontrará a continuación.

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?

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• 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. xqbhyrx
  
• Familiarity with AI development tools such as Cursor or Claude Code is a plus.