29 дней назад
Senior Elasticsearch Engineer (Elasticsearch)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Elasticsearch Engineer (Elasticsearch/OpenSearch): Managing the full lifecycle of a massive search and analytics data platform with an accent on cluster architecture, performance tuning, and operational excellence. Focus on shard allocation strategy, high-throughput data streams, and migrating infrastructure from Elasticsearch to OpenSearch on bare-metal Kubernetes.
Location: Remote (Work from anywhere!)
Company
is the world's largest chess platform, serving over 250 million players worldwide with a mission-driven, flat, no-corporate culture.
What you will do
- Own the full lifecycle of Elasticsearch and OpenSearch clusters, including capacity planning and cluster architecture.
- Handle incident response, shard allocation, and performance optimization for high-throughput data streams.
- Manage disk watermarks, retention policies, and rollover orchestration for multi-terabyte indices.
- Execute the migration strategy from Elasticsearch to OpenSearch and manage version upgrades with zero downtime.
- Collaborate with engineering teams on index design, mapping strategies, and query optimization.
Requirements
- 7+ years of experience operating multi-TB Elasticsearch clusters at scale.
- Deep knowledge of Elasticsearch internals (segment merging, translog, shard allocation).
- Production experience with ECK (Elastic Cloud on Kubernetes) and Kubernetes operations for stateful workloads.
- Strong Linux systems administration skills with a focus on storage and I/O performance.
- Proficiency in GitOps tools such as Helm and ArgoCD/Flux.
Nice to have
- Experience with OpenSearch ISM policies and security plugins.
- Proficiency with Java JVM tuning (heap sizing, GC tuning).
- Experience with Grafana, Prometheus, and Fluentd/Fluent Bit pipelines.
- Python or scripting skills for operational automation.
Culture & Benefits
- 100% remote work environment with team members in 60+ countries.
- Full autonomy to make architectural decisions and set priorities.
- Opportunity to work with real-scale data (hundreds of terabytes) on bare-metal hardware.
- Mission-driven, flat organization with a "no-corporate" culture.
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