Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это четко описанная ведущая роль в известной продуктовой компании с большой ответственностью за поисковую платформу и современные распределенные системы, но зарплата не указана, а техническая нагрузка будет высокой.
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Зарплата не указанаСовременные технологииПонятная рольКрупная платформа
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Software Engineer (Search Platform) (OpenSearch/Elasticsearch): Architecting and scaling Jira's multi-tenant search backend through a multi-year transformation toward resilient microservices, with an accent on search performance, elasticity, and Tier-0 reliability. Focus on designing tenant isolation, data partitioning, shard placement, ingestion and indexing strategies, and solving complex distributed-systems challenges across global cloud infrastructure.
Location: Flexible work from an office, home, or a combination of both. Hiring is available in countries where hirify.global has a legal entity.
Company
hirify.global develops collaboration software products that help teams organize and manage work.
What you will do
Architect and lead high-scale search solutions for the Jira Platform Search organization.
Drive the transformation of core monolithic services into resilient microservices serving billions of daily requests.
Define technical roadmaps, scope large-scale initiatives, and lead delivery from architectural design through production launch.
Establish scalable architecture standards, improve operational excellence, and resolve critical system defects.
Partner with engineering, product, and architecture teams on company-wide programs.
Mentor engineers and raise technical rigor through documentation, code reviews, and technical guidance.
Requirements
10+ years of experience in hands-on software or technology architecture roles with end-to-end SDLC ownership.
Deep production expertise with OpenSearch or Elasticsearch and strong knowledge of Lucene indexing and query-execution internals.
Experience designing tenant isolation, data partitioning, shard placement, routing, and capacity strategies for distributed search systems.
Track record of improving search latency, indexing throughput, availability, and infrastructure efficiency.
Expertise in reliable ingestion, index freshness, data correctness, permission-aware search, and online reindexing.
Strong experience with distributed architectures, cloud-native services, asynchronous systems, and high-throughput cloud infrastructure.
Nice to have
Bachelor's degree, ideally in Computer Science.
Hands-on familiarity with Java, Kotlin, or the Kubernetes ecosystem.
Experience with Lucene, Solr, PostgreSQL, Kafka, DynamoDB, AWS, or GCP.
Culture & Benefits
Choice of working from an office, home, or a combination of both.
Health and wellbeing resources.
Paid volunteer days and community-support programs.
Potential eligibility for benefits, bonuses, commissions, and equity.
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