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.¿Quiere presentar una candidatura?Asegúrese de que su CV está actualizado y luego lea atentamente las siguientes especificaciones del puesto antes de solicitar.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.xbhjioe Familiarity with AI development tools such as Cursor or Claude Code is a plus.

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