Elastic · 1 day ago
Consulting Architect, Elasticsearch
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Comp. & Benefits
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Responsibilities
Deliver Elastic solutions and elastic stack expertise to drive customer business value from our products
Facilitate strategy, roadmap, design, and capacity planning in mission-critical environments workshops
Strong customer advocacy, relationship building, and communications skills
Comfortable working remotely in a highly distributed team
Development of demos and proof-of-concepts that highlight the value of the Elastic Stack and Solutions
Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale
Drive and manage the objectives, requirements gathering, project tasks/milestone, project status, dependencies, and timelines, to ensure engagements are delivered optimally and on time while meeting the business objectives
Working closely engineering, product management, and support teams to identify feature improvements, extensions, and product defects. Facilitate feedback from field back to the product.
Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns
Qualification
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Required
Bachelor’s, Master’s or PhD in Computer Science or related engineering discipline preferred, or equivalent combination of education, training, and experience
Minimum 3 years as a Search Engineer or Search Architect
Deep knowledge of E-Commerce search solutions
Experience with query development and relevancy tuning
Knowledge of implementing and fine tuning of Natural Language Processing (NLP) use cases
Understanding of the open source machine learning framework such as PyTorch
Experience working as a consultant, working to deliver and execute on professional services engagements
Hands-on experience and an understanding of Elasticsearch and/or Lucene
Excel at working directly with customers to gather, prioritize, plan and execute solutions to customer business requirements as it relates to our technologies
Strong hands-on experience with large distributed systems and application infrastructure from an architecture and development perspective
Knowledge of information retrieval and/or analytics domain
Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM’s, Lucene
Occasional travel up to 20%
Preferred
Experience in Elasticsearch, Vector and GenAI
Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
Benefits
Health coverage for you and your family in many locations
Generous number of vacation days each year
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
Company
Elastic
Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases.
Funding
Current Stage
Public CompanyTotal Funding
$162MKey Investors
New Enterprise AssociatesIndex VenturesBenchmark
2018-10-04IPO· nyse:ESTC
2018-05-03Secondary Market· Undisclosed
2016-07-01Series D· $58M
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