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Consulting Architect - Platform

Elastic· Consulting - Global - COE
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RemoteFull-timePosted 7mo ago

About the role

Senior technical consultant role focused on designing, sizing, and delivering Elasticsearch platform solutions across self-managed, orchestrated, and managed deployments, including complex environments and upgrades. Responsible for cluster topology, capacity planning, performance troubleshooting, and end-to-end engagement ownership with customers.

Responsibilities

  • 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, growth — validated by benchmark rather than estimated from a form
  • 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
  • Diagnose performance problems across the full stack — Elastic, the JVM, the operating system, storage and network — and across adjacent systems in the data path
  • Work directly with customer architects, platform owners and engineering leadership; run discovery, present designs, and own the technical outcome of an engagement end to end
  • Build reusable tooling, automation and IP that makes the next engagement faster, including AI-assisted tooling for diagnosis, configuration and reporting
  • Mentor other consultants and contribute to the GCC's technical practice

Qualifications

  • 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 demonstrable knowledge to obtain it within the first quarter
  • Strong Linux and operating system fundamentals, with grounding in storage and networking
  • Understanding of how infrastructure conditions translate into Elastic symptoms
  • Experience troubleshooting on shared infrastructure, coordinating with other teams to resolve cross-workload issues

Skills

Required:Elastic Stack expertiseCluster sizing and performance tuningLifecycle and data retention designDisaster recovery and backupsUpgrade managementLinux and OS fundamentalsCustomer engagement and leadership

Benefits

  • Competitive pay
  • Health coverage for you and your family in many locations
  • Flexible locations and schedules for many roles
  • Generous vacation days
  • Company match up to $2000 for financial donations and service
  • Up to 40 hours per year for volunteer projects
  • Minimum of 16 weeks parental leave
Last updated Sep 24, 2026. Interested? Apply on the company site.
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