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4 дня назад

Senior Software Engineer (Java/Kotlin)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (Java/Kotlin): Building and operating backend services and scalable microservices for a music performance data platform with an accent on high-volume data ingestion and processing. Focus on developing production-grade APIs, optimizing data pipelines, and enhancing platform data capabilities.

Location: Netherlands

Company

hirify.global is a leading full-service B2B music distributor that provides technology and marketing services to music companies, connecting them with major digital service providers.

What you will do

  • Design, build, and operate backend services using Java and Kotlin.
  • Develop scalable, production-grade microservices and APIs for internal and external use.
  • Work across transactional, analytical, and document databases to ensure system reliability and performance.
  • Contribute to systems processing high-volume data pipelines from DSPs like Spotify, Apple Music, and YouTube.
  • Collaborate on evolving the platform towards stronger data capabilities and improving observability.

Requirements

  • Strong experience in Java and/or Kotlin with solid understanding of Spring, Spring Boot, and Hibernate.
  • Proven experience designing and building microservices.
  • Experience with Docker, Kubernetes, and cloud platforms (GCP preferred).
  • Strong SQL skills and fundamental knowledge of data modelling.
  • Experience with messaging systems such as Redis Streams or Google Pub/Sub.
  • Degree in Computer Science, Engineering, or equivalent professional experience.

Nice to have

  • Exposure to data engineering or data platforms.
  • Experience with Python or other scripting languages.
  • Familiarity with Infrastructure as Code (Terraform, Ansible).
  • Experience in database performance tuning and optimization.
  • Interest in building and scaling data pipelines.

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