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Роль чётко сфокусирована на Kafka и надёжности инфраструктуры, стек современный, а условия включают полезные льготы; торговая сфера может повышать операционную нагрузку.
?Торговая сфера
Современный стек
Чёткие задачи
Бюджет на развитие
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
DevOps Engineer (Kafka): Designing, operating, and improving Kafka clusters and DevOps infrastructure across cloud and on-premises environments with an accent on high availability, reliability, automation, and messaging performance. Focus on running stateful workloads on Kubernetes, building monitoring and disaster recovery solutions, and troubleshooting production incidents in event-driven architectures.
Location: Europe; remote work is available
Company
hirify.global operates trading and market-data infrastructure.
What you will do
Design, build, configure, and maintain Kafka clusters and messaging infrastructure.
Manage and improve DevOps infrastructure across cloud and on-premises environments.
Automate infrastructure provisioning, configuration, and operations with Terraform and Kubernetes.
Build monitoring and alerting systems and ensure high availability, reliability, and performance.
Collaborate with development teams on Kafka topic design, schema management, and connectors.
Design backup, replication, and disaster recovery solutions; troubleshoot incidents and improve system stability.
Requirements
5+ years of professional experience as a DevOps, SRE, or Platform Engineer.
Strong production experience with Apache Kafka and message brokers such as RabbitMQ or RocketMQ.
Deep understanding of event-driven, modular monolith, and microservices architectures.
Experience running stateful workloads on Kubernetes and hands-on experience with Terraform.
Experience with monitoring tools such as Prometheus and Grafana.
Strong Linux administration skills, including performance tuning and troubleshooting.
Solid understanding of networking fundamentals and experience with cloud and/or on-premises infrastructure.
English level: B1 or higher.
Nice to have
Experience with Schema Registry, Kafka Connect, or CDC using Debezium.
Experience with Kubernetes Operators such as Strimzi, Helm, or Amazon MSK.
Experience with low-latency or high-throughput systems.
Experience with data pipelines involving ClickHouse, HDFS, or Spark.
Experience in trading, fintech, or market-data environments.
Culture & Benefits
Full-time position with an opportunity to work remotely.
20 paid vacation days and 10 paid sick leave days per year.
Public holidays according to the company-approved holiday list.
Medical insurance.
Professional education, language learning, and wellness budgets.
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