Consulting Architect - Search

Elastic

7d • $133,100 - $252,900 • Hybrid

About The Position

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 organizations deliver on the promise of AI.

As a Senior Search Consulting Architect, you will serve as a hands-on technical authority and trusted implementation leader helping our enterprise customers unlock the full potential of Elasticsearch. Working directly with customer engineering teams and technical leadership, you will design, optimize, and scale complex Elasticsearch cluster topologies that transform application search performance, data retrieval infrastructure, and AI-powered semantic search capabilities.

You will bridge the gap between business requirements and distributed systems engineering, collaborating closely with internal Services Delivery leads, Sales Engineers, and customer architects. In this high-impact role, you will lead critical cluster deployments, drive performance tuning engagements, and mentor technical staff to ensure long-term operational success for key accounts.

Requirements

• 5+ years as a Solutions Architect, Lead Engineer, or Senior Systems Consultant with hands-on, deep technical expertise specifically focused on Elasticsearch in production environments.
• Solid understanding of distributed systems principles as applied to Elasticsearch, including node roles (master, data, ingest, ML), Apache Lucene indexing mechanics, and cluster state management.
• Proven track record of implementing semantic search solutions using Elasticsearch’s native ML nodes, dense/sparse vector fields, and modern NLP framework integrations.
• Practical experience deploying and managing Elasticsearch workloads on public cloud platforms (AWS, Azure, GCP) using Docker, Kubernetes, or Terraform.
• Proficiency in at least one modern programming language (e.g., Java, Python, Go) with experience using official Elasticsearch client libraries.
• Strong presentation and technical writing skills, with a proven ability to guide developer teams, customer architects, and IT managers through complex technical choices.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical industry experience.
• Comfortable working across distributed teams and traveling to customer sites as required for key project milestones.

Responsibilities

• Translate business and functional requirements into highly resilient, scalable search architectures built natively on distributed Elasticsearch environments.
• Lead technical execution and node blueprinting for enterprise customer engagements—including capacity planning, custom mappings, shard strategy, Index Lifecycle Management (ILM), and cross-cluster replication (CCR/CCS).
• Deploy and operationalize semantic search implementations utilizing Elasticsearch’s native vector capabilities, including kNN, ELSER, hybrid retrieval, and Retrieval-Augmented Generation (RAG) pipelines.
• Profile, benchmark, and tune distributed search and indexing performance to meet demanding SLAs, optimizing JVM heap, garbage collection, caching layers, and Apache Lucene segment merging.
• Build robust ingestion pipelines and bulk indexing strategies handling high-volume workloads while optimizing cluster state performance and thread pools.
• Serve as the lead technical consultant during client engagements, leading technical kickoff meetings, architectural reviews, and hands-on migration efforts.
• Identify edge cases, bugs, and common architectural hurdles in field deployments, sharing structured feedback with Product Management and Core Support.
• Document implementation patterns, contribute to standard delivery frameworks, and mentor team members to cultivate a culture of technical excellence.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave
• Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings

What This Job Offers

• Job Type: Full-time
• Career Level: Senior