Senior Technical Consultant - ElasticSearch
$111k - $176k USD
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 Sr. Technical Consultant – Search, you will play a pivotal role in helping our customers realize the value of Elastic’s Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.
You’ll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Search platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.
What You Will Be Doing
- Translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack
- Lead end-to-end delivery of customer engagements — from discovery and design through implementation, enablement, and optimization
- Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption
- Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles
- Collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement
- Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community
- Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration
- Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale
- Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback
- Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic’s vector capabilities and ML models or similar
- Profile and tune queries for high-QPS environments with sub-second latency targets
What You Bring
- 5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies, including Elasticsearch and related search platforms (Solr, Algolia, AWS OpenSearch, Unbxd, e-commerce search engines).
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Hands-on experience designing and deploying search solutions, including:
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Custom search architectures
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Query development and relevance tuning
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NLP-based search use cases and AI-powered search
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Strong understanding of distributed search systems and large-scale infrastructure.
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Proficiency in at least one programming language; familiarity with open-source ML/AI frameworks preferred.
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Knowledge or experience with Lucene, databases, Linux, Java, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
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Familiarity with DevOps practices relevant to search solution deployment (Docker, Kubernetes, Terraform, CI/CD).
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Ability to manage delivery from proof-of-concept through production rollout, while mentoring client teams for long-term success.
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Familiarity with modern AI/NLP ecosystems, including transformers, Hugging Face, and vector databases (e.g., Pinecone, Weaviate) as applied to search.
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Strong communication and presentation skills, with experience collaborating directly with customers to gather requirements and deliver search solutions.
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Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
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Comfortable working in distributed teams and traveling to client sites as needed for search solution engagements.
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:
$110,900—$175,500 USD
The typical starting salary range for this role in the select locations listed above is:
$133,200—$210,700 USD
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
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 candidate_accessibility@elastic.co. 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)
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