19 дней назад
Software Engineer - Infrastructure
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →