Consulting Architect - Search
Elastic Search AI Platform
Elastic enables everyone to find the answers they need in real time, using all their data, at scale. The Elastic Search AI Platform is used by more than 50% of the Fortune 500, bringing together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter.
What is The Role?
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. You will work directly with customer engineering teams and technical leadership to design, optimize, and scale complex Elasticsearch cluster topologies that transform application search performance, data retrieval infrastructure, and AI-powered semantic search capabilities.
What You Will Be Doing:
- Elasticsearch Core Architecture: Translate business and functional requirements into highly resilient, scalable search architectures built natively on distributed Elasticsearch environments.
- Cluster Design & Governance: 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).
- Advanced Vector Search & AI Engineering: Deploy and operationalize semantic search implementations utilizing Elasticsearch’s native ML nodes, dense/sparse vector fields, and modern NLP framework integrations.
- Performance Tuning & Optimization: Profile, benchmark, and tune distributed search and indexing performance to meet demanding Service Level Agreements (SLAs), optimizing JVM heap, garbage collection, caching layers, and Apache Lucene segment merging.
- High-Throughput Ingestion: Build robust ingestion pipelines and bulk indexing strategies handling high-volume workloads while optimizing cluster state performance and thread pools.
- Customer Engagement & Delivery: Serve as the lead technical consultant during client engagements, leading technical kickoff meetings, architectural reviews, and hands-on migration efforts.
- Field Insights & Feedback: Identify edge cases, bugs, and common architectural hurdles in field deployments, sharing structured feedback with Product Management and Core Support.
- Internal Mentorship: Document implementation patterns, contribute to standard delivery frameworks, and mentor team members to cultivate a culture of technical excellence.
What You Bring:
- 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.
Additional Information
We Take Care of Our People: At Elastic, we believe that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
The typical starting salary range for this role is: $133,100—$210,600 USD
In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
The typical starting salary range for this role in the select locations listed above is: $159,900—$252,900 USD