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Backend Developer (Python)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Italy
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Backend Developer (Python): Design and build scalable, high-performance backend services, RESTful APIs, and big data processing pipelines with an accent on Python, FastAPI, MongoDB, and Apache Spark. Focus on optimizing large-scale data transformations, working with distributed private cloud clusters, and integrating modern software architectures with data and AI/LLM systems.

Location: Milan, Italy; hybrid working model

Company

hirify.global is a Fortune 500 global distributor of electronic components undergoing digital transformation through data platforms and AI/LLM integrations.

What you will do

  • Design, develop, and maintain backend services using Python and FastAPI.
  • Build scalable, high-performance RESTful APIs for internal applications.
  • Work with NoSQL databases, especially MongoDB.
  • Design and optimize big data processing pipelines and large-scale transformations with Apache Spark on private cloud clusters.
  • Collaborate with data, frontend, and business teams.
  • Contribute to software architecture while improving system performance and reliability.

Requirements

  • Strong proficiency in Python and hands-on experience with FastAPI.
  • Experience with MongoDB, NoSQL databases, big data systems, and large-scale datasets.
  • Proven ability to optimize data transformations using Apache Spark.
  • Experience with distributed computing environments, such as private cloud clusters.
  • Experience building RESTful APIs and understanding backend architectures and microservices.
  • High proficiency in English, written and spoken.

Nice to have

  • Experience with Neo4j or Elasticsearch.
  • Knowledge of Microsoft Azure or other cloud platforms.
  • Background in AI or machine learning, including PyTorch or TensorFlow.
  • Experience integrating large language models and familiarity with data pipelines and analytics systems.

Culture & Benefits

  • Hybrid working model.
  • Supportive multicultural team environment and open-door policy.
  • Tools and opportunities for career development.
  • LinkedIn Learning license.

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