Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Site Reliability Engineer (Big Data): Building and optimizing streaming and storage systems with an accent on Kafka architecture and Ceph operations. Focus on automating operational workflows, managing petabyte-scale distributed systems, and ensuring high availability across hybrid infrastructure.
Location: Remote (International). Willingness to work 9am-6pm ET U.S. hours is required.
Company
hirify.global is a high-scale data platform processing billions of events daily using Kafka, Hadoop, and Ceph.
What you will do
Manage Kafka architecture, including topic design, partition strategy, throughput, and latency optimization.
Oversee Ceph operations, pool design, placement optimization, and capacity planning.
Develop operational automation to reduce manual work and accelerate incident response.
Maintain SQL Server backup and recovery pipelines and provide basic cluster support.
Build self-service tooling and observability frameworks for the data team.
Requirements
5+ years of experience operating large-scale distributed systems in production.
Deep expertise in Kafka, Ceph, or similar distributed infrastructure.
Proven ability to design for scale and reliability at petabyte scale.
Experience mentoring engineers and making critical technical decisions.
Must be willing to work 9am-6pm ET U.S. hours.
Nice to have
Experience with multi-region replication and disaster recovery.
Cost optimization expertise at infrastructure scale.
Experience with hybrid on-prem/cloud operations.
Culture & Benefits
Fully remote work arrangement.
Opportunity to define platform architecture and influence engineering standards.
High-impact role as a key technical contributor shaping the future of the platform.
Exposure to large-scale distributed systems challenges.
Hiring process
Introductory conversation to discuss background and the role.
Technical discussion focused on systems engineering and Kubernetes.
Architecture discussion exploring platform design and technical decision-making.
Leadership conversation regarding team strategy and long-term direction.
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