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Software Developer Intern, Analytics (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
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
Software Developer Intern, Analytics (AI) (Java/Python, AWS): Building cloud-based data services and pipelines that process large volumes of customer interaction data for the Genesys Cloud Analytics platform with an accent on distributed systems, data processing, and large-scale analytics. Focus on designing and testing software features, learning AWS technologies, participating in code reviews, and developing reliable services for enterprise customer experience data.

Location: Ontario, Canada

Company

hirify.global develops AI-powered customer and employee experience orchestration technology used by more than 8,000 organizations worldwide.

What you will do

  • Design, develop, and test features for the hirify.global Cloud Analytics platform with experienced engineers.
  • Contribute to cloud services and data pipelines processing large volumes of customer interaction data.
  • Develop and test software using Java, Python, or similar programming languages.
  • Participate in code reviews and apply modern software engineering practices.
  • Gain practical exposure to AWS, distributed systems, data processing, and CI/CD.
  • Understand and comply with HIPAA security and privacy requirements and the hirify.global Code of Business Conduct and Ethics.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline.
  • Programming experience through coursework, projects, or internships using Java, Python, or a similar language.
  • Foundational understanding of data structures, algorithms, and software development.
  • Interest in cloud computing, data engineering, analytics, or distributed systems.
  • Strong problem-solving, communication, and collaboration skills.

Nice to have

  • Exposure to AWS or other cloud platforms.
  • Familiarity with SQL, databases, or data processing.
  • Exposure to Spark, Hadoop, or Airflow.

Culture & Benefits

  • Flexible-first working culture within a global organization.
  • Mentorship, learning programs, leadership development, and education support.
  • Paid volunteer time, August Free Fridays, and well-being resources.
  • Regionally tailored programs for employees and their families.

Hiring process

  • Application review by the Talent Acquisition team and hiring team.
  • Zoom interview with a Talent Acquisition Partner, followed by meetings with the hiring manager and interview team.
  • Usually no more than five interviews, followed by communication about the final steps.

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