Search Elastic Architect
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Overview
Remote
On-site
Compensation
$85-$85/hour
Job Description
Role : Search Elastic ArchitectLocation : San Francisco, CA 94108 (Remote)Hire Type : ContractRate : $85/hr.Indent : PSL307589-1-1 / PSL307589-2-1
Regards,
| Essential Qualifications | ||||||||
| Elastic Certification: Required – Active Elastic Certified Engineer certification is mandatory. | ||||||||
| Experience: Minimum of 12 years as a Consulting Architect, Senior Technical Consultant, or equivalent senior IT functional role delivering to E-commerce and Document Search clients. | ||||||||
| Consulting History: A strong history of working as a consultant delivering professional services engagements in complex enterprise environments. | ||||||||
| Domain Expertise: | ||||||||
| Experience in solving complex technical Search problems in terms of relevancy, scaling, performance fine-tuning, building a platform to handle high query throughputs and indexing throughput, benchmarking clusters to achieve optimal performance. | ||||||||
| Experience with Analysers, BM25, Vector Search, Fuzzy match, Search as you type, Hybrid Search, Tokenization, KNN, LLMs, | ||||||||
| Experience in leading and delivering Enterprise Search projects at both the architectural and program level including ILM, Sharding, Capacity models, scaling, on premise, ECE, ECK, Serverless | ||||||||
| Experience in GenAI, Retrieval Augmented Generation (RAG) Agentic AI, and vector embeddings. | ||||||||
| Deep understanding of distributed architecture including application, database, and systems. | ||||||||
| Cloud & Infrastructure: Hands-on experience with on-prem systems and/or major public/private cloud platforms (AWS, Azure, GCP). | ||||||||
| Technical Depth: Hands-on experience in Linux, networking, security, containerization (Docker/Kubernetes), and infrastructure automation. | ||||||||
| Programming/Scripting: Experience utilizing programming or scripting languages in a corporate environment (e.g., Python, Javascript, Go). | ||||||||
| Communication: Exceptional customer advocacy, relationship-building, and presentation skills. Proven ability to lead and articulate technical solutions and business value to stakeholders, including C-level executives. | ||||||||
| Travel: Ability and willingness to travel to client sites periodically as required for project success (up to 40%) | ||||||||
| Work Style: Comfortable working effectively in a highly distributed and remote team, spanning multiple global time zones. | ||||||||
| BS or master's degree in computer science or a related technical field. | ||||||||
| Desirable Qualifications (Bonus Points) | ||||||||
| Familiarity/Experience in implementing similar products in Search Domain(Solr, Algolia,Open Search) | ||||||||
| Additional Elastic Certifications (e.g., Elastic Certified Analyst, Specializations) and/or specialization in machine learning, data analytics. | ||||||||
| Experience working closely with a pre-sales organization in scoping customer needs and delivering against a Statement of Work (SOW). | ||||||||
| Experience as a technical instructor or public speaker on enterprise infrastructure software. | ||||||||
| Experience contributing to an open-source project or documentation. | ||||||||
Automate your job search with Sonara.
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FAQs About Search Elastic Architect Jobs at PeopleNTech LLC
What is the work location for this position at PeopleNTech LLC?
This job at PeopleNTech LLC is located in Alexandria, VA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at PeopleNTech LLC?
Candidates can expect a pay range of $85–$85 per hour for this role.
What employment applies to this position at PeopleNTech LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at PeopleNTech LLC?
You can apply for this role at PeopleNTech LLC either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.