Elastic

1 month ago

Principal Search Consulting Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead enterprise Elasticsearch architecture and migrations for Fortune 500 customers, shaping regional standards, driving high-scale vector search and AI-enabled retrieval, and mentoring global engineering teams to deliver scalable, Cloud-native Elasticsearch solutions.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Sr. Manager level

Key Responsibilities

•Translate highly complex business requirements into resilient, next-generation enterprise retrieval architectures built on distributed Elasticsearch environments.
•Lead the overarching technical strategy and design authority for high-stakes customer engagements—from node blueprinting and capacity planning to custom mappings, shard strategy, ILM, and cross-cluster replication.
•Design and operationalize semantic search architectures utilizing vector databases and Retrieval-Augmented Generation (RAG) pipelines.
•Profile, benchmark, and tune distributed search and indexing performance for ultra-high-QPS environments with sub-second SLAs.
•Architect robust distributed ingestion strategies for petabyte-scale throughput and optimize cluster state performance.

Pay and Benefits

Salary: USD 159,800 - 252,800 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveVolunteer HoursParental Leave

Key Requirements

•8+ years of experience as a Principal Architect, Lead Engineer, or Senior Systems Consultant with deep Elasticsearch expertise at massive scale.
•Elasticsearch internals mastery including consensus protocols, node roles, Lucene indexing, and cluster state management.
•AI-powered search expertise with production-grade semantic search using Elasticsearch native ML nodes, dense/sparse vector fields, and NLP/LLM integrations.
•Cloud-native infrastructure experience across AWS, Azure, GCP with Docker and Terraform.
•Proficiency in multiple languages (Java, Python, Go) with Elasticsearch client libraries and plugin development.

Experience:8+ yearsElasticSearchDistributed systemsAiEnterprise

Education:Bachelor's

Skills:ElasticsearchJavaPythonGoDockerKubernetesTerraformAWSAzureGCPLuceneKNNANNRAG

Languages:English

Tech Stack:ElasticsearchJavaPythonGoDockerTerraformAWSAzureGCPKubernetesLuceneKNNANNRAG

Company Brief

Elastic

Builds the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash) and provides search, observability, and security solutions that enable organizations to search, analyze, and protect data in real time across applications, infrastructure, and enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 2012

Website LinkedIn

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Elastic

1 month ago

Principal Search Consulting Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Sr. Manager level

Key Responsibilities

•Translate highly complex business requirements into resilient, next-generation enterprise retrieval architectures built on distributed Elasticsearch environments.
•Lead the overarching technical strategy and design authority for high-stakes customer engagements—from node blueprinting and capacity planning to custom mappings, shard strategy, ILM, and cross-cluster replication.
•Design and operationalize semantic search architectures utilizing vector databases and Retrieval-Augmented Generation (RAG) pipelines.
•Profile, benchmark, and tune distributed search and indexing performance for ultra-high-QPS environments with sub-second SLAs.
•Architect robust distributed ingestion strategies for petabyte-scale throughput and optimize cluster state performance.

Pay and Benefits

Salary: USD 159,800 - 252,800 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveVolunteer HoursParental Leave

Key Requirements

•8+ years of experience as a Principal Architect, Lead Engineer, or Senior Systems Consultant with deep Elasticsearch expertise at massive scale.
•Elasticsearch internals mastery including consensus protocols, node roles, Lucene indexing, and cluster state management.
•AI-powered search expertise with production-grade semantic search using Elasticsearch native ML nodes, dense/sparse vector fields, and NLP/LLM integrations.
•Cloud-native infrastructure experience across AWS, Azure, GCP with Docker and Terraform.
•Proficiency in multiple languages (Java, Python, Go) with Elasticsearch client libraries and plugin development.

Experience:8+ yearsElasticSearchDistributed systemsAiEnterprise

Education:Bachelor's

Skills:ElasticsearchJavaPythonGoDockerKubernetesTerraformAWSAzureGCPLuceneKNNANNRAG

Languages:English

Tech Stack:ElasticsearchJavaPythonGoDockerTerraformAWSAzureGCPKubernetesLuceneKNNANNRAG

Company Brief

Elastic

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 2012

Website LinkedIn