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Consulting Architect - Platform

Elastic · India

experiencedIndiaPosted 5 Dec 2025

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Elastic is hiring a Consulting Architect - Platform in India.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. 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 organization

Requirements

Elastic depth — non-negotiable

We are not looking for someone who will learn Elastic on the job.

  • 8+ years hands-on with the Elastic Stack, substantially on cluster and platform work rather than dashboarding or pipeline authoring
  • Shard strategy you can derive, not recite — how you arrived at a shard count and size for a given workload, what you traded off, and what you got wrong the first time
  • 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
  • Snapshot, restore and disaster recovery designed and executed, not just configured
  • Major-version upgrades in production — the sequencing, the breaking changes, the rollback position
  • More than one deployment model: self-managed plus at least one managed or orchestrated option
  • Cluster stability and performance troubleshooting — heap and garbage collection, circuit breakers, thread pool rejections, shard allocation, expensive queries
  • Elastic Certified Engineer, or the demonstrable knowledge to obtain it within your first quarter
  • Strong Linux and operating system fundamentals, with solid grounding in storage and networking
  • A working understanding of how infrastructure conditions translate into Elastic symptoms, and how infrastructure choices constrain what a deployment can do
  • Experience troubleshooting on shared infrastructure, where the cause of your problem is another workload's behaviour and resolving it means engaging the team that owns it

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