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7 часов назад

Staff Software Engineer (Java or Scala)

Формат работы
remote
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Software Engineer (Java or Scala): Build and maintain large-scale replication systems on top of the hirify.global Data Platform stack with an accent on cloud-based, low RPO/RTO replication architectures and production reliability. Focus on designing distributed replication across HDFS, Ozone, Hive, HBase, Iceberg, Atlas, and Ranger while mentoring engineers and improving performance for near real-time workloads.

Location: Budapest, Hungary

Company

hirify.global develops an enterprise data platform that helps customers store, manage, and process data at massive scale.

What you will do

  • Build and maintain large-scale replication systems on the hirify.global Data Platform stack
  • Own production operations for the replication products
  • Design cloud-based replication architectures with low RPO and RTO in a distributed engineering environment
  • Support replication across HDFS, Ozone, Hive, HBase, Iceberg, Atlas, and Ranger
  • Mentor junior engineers and provide actionable feedback
  • Collaborate with product management and occasionally with field engineers on roadmap and early access features

Requirements

  • Strong backend engineering skills in Java or Scala (or Kotlin)
  • 4–6 years of experience with a Master’s in Computer Science or related field, or 6+ years with a Bachelor’s, or 6–8 years of relevant experience
  • Ability to read large codebases and write clean, succinct code
  • Experience with system software design and development
  • Experience with large-scale distributed systems design and development (replication, consistency, high availability)
  • No immigration sponsorship

Nice to have

  • Understanding of computer architecture, storage, network, and IO subsystems
  • Experience with AWS, Azure, or GCP
  • Test automation experience with basic Python knowledge
  • Performance tuning experience (identifying bottlenecks and implementing optimizations)
  • Systems/DevOps experience

Culture & Benefits

  • Generous PTO policy and support for work-life balance via Unplugged Days
  • Flexible WFH policy
  • Mental & physical wellness programs
  • Phone and internet reimbursement
  • Access to continued career development and comprehensive benefits
  • Employee Resource Groups and paid volunteer time

Hiring process

  • Interviews focused on engineering depth, system design, and production ownership expectations
  • Collaboration and feedback discussion, including mentoring and cross-functional work

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