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3 дня назад

Software Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Netherlands
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 Engineer (Python/Java/Scala): Building scalable data pipelines, backend services, and cloud infrastructure for accurate, real-time digital maps with an accent on reliability, data quality, and maintainable code. Focus on designing production-ready platform components, integrating services, and diagnosing issues across distributed systems.

Location: Amsterdam, The Netherlands; hybrid work with two office days per week. Three remaining working days may be completed in the office or from home. Limited work from the home country and abroad is available for a set number of days each year.

Company

hirify.global develops location technology and real-time digital maps used by car manufacturers, enterprises, developers, and hundreds of millions of users.

What you will do

  • Design and implement scalable data pipelines, backend services, and cloud infrastructure.
  • Develop and maintain reliable, high-quality platform components for mapmaking products.
  • Collaborate with data producers, consumers, and cross-functional engineering teams to integrate features and services.
  • Write clean, well-tested code and participate in code reviews.
  • Monitor and troubleshoot production systems while learning to diagnose and resolve incidents.
  • Apply software engineering practices including version control, CI/CD, testing, and documentation.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related technical field; recent graduates are welcome.
  • Hands-on experience from internships, coursework, or personal projects.
  • Working knowledge of Python, Java, Scala, or another programming language.
  • Understanding of software engineering fundamentals, including data structures, algorithms, and testing.
  • Basic familiarity with Git and willingness to learn Docker and Kubernetes.
  • Good written and verbal communication skills, curiosity, and eagerness to grow through mentorship.

Nice to have

  • Experience with production software systems.
  • Exposure to data engineering concepts, including pipelines, data quality, and structured data at scale.

Culture & Benefits

  • Hybrid work combining office collaboration with home-based focus time.
  • Personal development budget, paid learning days, and access to O’Reilly and LinkedIn Learning.
  • Enhanced parental leave, paid care leave, volunteer leave, and a competitive holiday plan.
  • Home-office setup budget and monthly support allowance.
  • Opportunities to work temporarily from the home country or abroad, plus hackathons and DevDays.
  • Inclusive international culture with more than 80 nationalities across the organization.

Hiring process

  • Application screening followed by assessments and interviews.
  • Successful candidates proceed through onboarding with detailed follow-up throughout the process.

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