Search Elastic Architect

PeopleNTech LLC

Santa Clara, CA

JOB DETAILS
SALARY
SKILLS
Amazon Web Services (AWS), Architectural Services, Artificial Intelligence (AI), Automation, Benchmarking, C-Level Management, Cloud Computing, Communication Skills, Computer Science, Consulting, Data Partitioning, Distributed Applications, Docker, Documentation, GCP (Good Clinical Practices), Go Programming Language (Golang), Infrastructure Software, JavaScript, Leadership, Linux Operating System, Microsoft Windows Azure, Network Security, Open Source, Performance Tuning/Optimization, Pre-Sales, Presentation/Verbal Skills, Private Cloud, Problem Solving Skills, Productivity Model, Professional Services, Public Cloud, Python Programming/Scripting Language, SOLR, Scripting (Scripting Languages), Search Technology, Service Delivery, Statement of Work (SOW), Technical Consulting, Technical Training, Willing to Travel, eCommerce
LOCATION
Santa Clara, CA
POSTED
12 days ago
Role : Search Elastic Architect
Location : San Francisco, CA 94108 (Remote)
Hire Type : Contract
Rate : $75/hr.
Indent : PSL307589-1-1 / PSL307589-2-1

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.

About the Company

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PeopleNTech LLC