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18 часов назад

Junior Software Engineer (Machine Learning and Streaming Infrastructure)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Junior Software Engineer (Machine Learning and Streaming Infrastructure): Building and maintaining scalable machine learning and streaming infrastructure for real-time risk discovery, assessment, and mitigation with an accent on backend development, cloud platforms, and operational excellence. Focus on developing real-time systems, monitoring complex services at scale, and collaborating with stakeholders to deliver scalable risk-management solutions.

Company

Build technology for hirify.global’s fashion commerce platform, including infrastructure that protects customers and business operations from risks and abuse.

What you will do

  • Contribute to projects influencing inventory management and risk mitigation.
  • Build and maintain machine learning and streaming infrastructure for real-time risk discovery, assessment, and mitigation.
  • Collaborate with product and engineering stakeholders on strategy, roadmaps, backlogs, and scalable solutions.
  • Support the end-to-end development lifecycle from discovery through execution.
  • Help define team processes and promote an inclusive, diverse working environment.

Requirements

  • Solid foundation in software engineering and a strong interest in backend development.
  • Proficiency in a Java-based programming language, such as Kotlin, with the ability to learn new technologies quickly.
  • Familiarity with monitoring and alerting practices for operating complex systems at scale.
  • Ability to collaborate across functions and explain technical concepts to non-technical stakeholders.
  • Curiosity about machine learning infrastructure, simulations, and improving technical accuracy and efficiency.

Nice to have

  • Knowledge of PHP.
  • Experience with cloud platforms such as AWS.
  • Familiarity with relational databases such as PostgreSQL, SQLite, or Presto/Trino.

Culture & Benefits

  • Hybrid work model with up to 60% remote work and flexible working hours.
  • Work from abroad for up to 30 working days per year.
  • 27 days of annual vacation at the start, plus two paid volunteering days per year.
  • Relocation assistance is available subject to prior agreement.
  • Employee shares, product discounts, family services, health and wellbeing options, and mental health support.
  • Training opportunities and biannual peer-to-peer reviews.

Hiring process

  • Accommodations can be requested during the hiring process.
  • Applications are assessed based on qualifications, merit, and business needs.

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