By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. You are the person a customer calls when their Elasticsearch platform is the problem, or when they need one designed properly the first time.
Design and build Elasticsearch platforms for customers across self-managed, orchestrated and managed deployments, including air-gapped and regulated environments.
Own sizing and capacity planning as a derivation from workload characteristics — ingest rate, document shape, retention, query concurrency…
Run health checks and remediation on production estates, and redesign sharding, mapping and index strategies where the original design no longer holds.
Lead major-version upgrades, snapshot and disaster recovery strategy, and multi-cluster architectures.
We are not looking for someone who will learn Elastic on the job.
Shard strategy you can derive, not recite — how you arrived at a shard count and size for a given workload…
Index and mapping design, and why those choices drive cluster performance.
Lifecycle and retention across data tiers, including the cost and latency implications of each.
Experience: Senior-level · 8+ years
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