# Consulting Architect - Search

**Company**: Elastic
**Location**: United States
**Experience**: senior
**Job type**: full-time
**Salary**: $133,100-$210,600 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/elastic/jobs/8128798?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e9f58255-cb4

## Description

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.

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.

## Responsibilities

- **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 vector capabilities, including kNN, ELSER, hybrid retrieval, and Retrieval-Augmented Generation (RAG) pipelines.

- **Performance Tuning & Optimization**: 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.

- **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.

## 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.

## 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

## Skills

### Required
- Elasticsearch
- distributed systems
- Apache Lucene
- cloud platforms
- Docker
- Kubernetes
- Terraform
- Java
- Python
- Go

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/elastic/jobs/8128798?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)