Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко определена с акцентом на передовые технологии баз данных, а компания предлагает конкурентоспособную зарплату, что делает эту вакансию привлекательной для опытных разработчиков.
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Сильный стек технологийКонкурентоспособная зарплатаУдаленная работаСложные задачи
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Developer (Database Engine) (Java/C++): Developing core database components including query engines, cost-based optimizers, storage layers, and distributed transaction systems with an accent on vectorized execution, concurrency, and fault-tolerant data processing. Focus on designing algorithms for complex data-management problems, validating prototypes through cross-reviews, and building scalable database infrastructure.
Location: Fully remote with flexible working hours
Company
Develops new database systems focused on data management and distributed systems.
What you will do
Design and implement core database components, including query optimizers, query engines, and storage layers.
Build relational operators, vectorized and compiled execution, resource scheduling, recovery mechanisms, indexes, and data-spilling systems.
Develop distributed algorithms for transaction protocols, data replication, and fault tolerance.
Analyze open-source database products and academic research in data management.
Write design documents and validate proposals through cross-reviews and prototypes.
Share technical knowledge through blog posts and conference talks.
Requirements
Strong knowledge of Java and readiness to learn new languages and tooling.
Solid understanding of foundational algorithms and data structures.
Strong analytical skills and the ability to evaluate technical trade-offs against product goals.
Ability to communicate in English in written and spoken form.
Thoughtful, empathetic approach to partnering with teammates on challenging technical problems.
Nice to have
Research publications.
Experience with databases or distributed systems.
Experience with parallel algorithms and concurrency.
Experience with big data stacks such as Apache Spark or Apache Flink.
Culture & Benefits
Work with experts in data management and distributed systems.
Fully remote work with flexible working hours.
Competitive salary above the market average.
Paid sick leave and days off.
Opportunities to speak at international conferences.
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