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Consulting Architect - Search
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Elastic·United States·27 авг.

Consulting Architect - Search

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Наша компания

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 organization

О роли

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,

Чем предстоит заниматься

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

Наши требования

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
Elasticsearch Internals: 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
AI-Powered Search Experience: Proven track record of implementing semantic search solutions using Elasticsearch’s native ML nodes, dense/sparse vector fields, and modern NLP framework integrations
Cloud-Native Infrastructure: Practical experience deploying and managing Elasticsearch workloads on public cloud platforms (AWS, Azure, GCP) using Docker, Kubernetes, or Terraform
Polyglot Coding: Proficiency in at least one modern programming language (e.g., Java, Python, Go) with experience using official Elasticsearch client libraries
Technical Communication: Strong presentation and technical writing skills, with a proven ability to guide developer teams, customer architects, and IT managers through complex technical choices
Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical industry experience
Global Mindset: Comfortable working across distributed teams and traveling to customer sites as required for key project milestones
Compensation for this role is in the form of base salary. This role does not have a variable compensation component
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs
Elastic believes 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
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do
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
Please see here for our Privacy Statement

Дополнительно

The typical starting salary range for this role is
$133,100—$210,600 USD
The typical starting salary range for this role in the select locations listed above is
$159,900—$252,900 USD
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
E
Elastic
United States

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ЗанятостьПолная занятость
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Опубликовано27 авг.
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