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.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. 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.
What You Will Do


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.


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.


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.  
The typical starting salary range for new hires in this role is listed below.  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. 
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.The typical starting salary range for this role is:$133,100—$210,600
USDThe typical starting salary range for this role in the select locations listed above
is:$159,900—$252,900 USDAdditional 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

Different people approach problems differently. We need that. Elastic is an equal opportunity
employer and is committed to creating an inclusive culture that celebrates different
perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for
employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual
orientation, gender perception or identity, national origin, age, marital status, protected
veteran status, disability status, or any other basis protected by federal, state or local law,
ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive
experience for all individuals. To request an accommodation during the application or the
recruiting process, please email [email protected]. We will reply to your
request within 24 business hours of submission.
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)
Elasticsearch develops and distributes technology and information that is subject to U.S. and
other countries’ export controls and licensing requirements for individuals who are located
in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran,
North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The
Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's
Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the
listed countries or regions, an export license may be required as a condition of your
employment in this role. Please note that national origin and/or nationality do not affect
eligibility for employment with Elastic.
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