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19 дней назад

Software Engineer - Infrastructure

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Taiwan
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 - Infrastructure (Java/Distributed Systems): Building and scaling core infrastructure for a large-scale real-time recommendation system with an accent on distributed systems, production engineering, and observability. Focus on designing high-throughput services, improving monitoring and performance, and developing infrastructure for billions of users and hundreds of thousands of requests per second.

Location: Taipei, Taiwan; hybrid schedule with 3 days in-office

Company

hirify.global develops performance advertising technology and a large-scale recommendation and advertising platform used by publishers, advertisers, and hundreds of millions of daily active users.

What you will do

  • Design, develop, deploy, measure, and maintain production services with end-to-end ownership.
  • Build and evolve core framework code for a large-scale real-time recommendation system.
  • Improve observability, monitoring, and logging to detect and resolve performance issues proactively.
  • Develop infrastructure for high-throughput workloads, including cluster management, Kafka consumers, metrics pipelines, and authentication services.
  • Use Gen-AI tools to accelerate development across the research and development organization.
  • Collaborate with software engineers and multiple teams on complex infrastructure challenges.

Requirements

  • 5+ years of programming experience in Java or an equivalent object-oriented language.
  • Experience developing large-scale distributed systems and understanding production system infrastructure.
  • Strong computer science fundamentals, including object-oriented design, data structures, and concurrent or multithreaded programming.
  • Experience with SQL and NoSQL databases and high proficiency in Linux.
  • Ability to work effectively across multiple teams.
  • Bachelor's degree in computer science or equivalent experience.

Nice to have

  • Experience with big data tools.
  • Knowledge of algorithms, data mining, and machine learning.

Culture & Benefits

  • Hybrid work schedule with 3 days in-office and the option to work from the office more often.
  • Comprehensive benefits, a stocked kitchen, and location-specific perks.
  • Opportunity to work with engineers experienced in Kafka, Cassandra, Airflow, Prometheus, and Spark.
  • Inclusive workplace with equal employment opportunities.

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