98 applicants

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Company

Elastic · 17 hours ago

Consulting Architect, Elasticsearch

United States

Full-time

Remote

Mid Level

$133K/yr - $211K/yr

3+ years exp

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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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ElasticsearchVectorGenAIE-Commerce search solutionsQuery developmentRelevancy tuningNatural Language ProcessingConsulting experienceLarge distributed systemsLucenePyTorchPublic speakingInformation retrievalKubernetesLinuxJavaDatabasesDockerAmazon Web ServicesAzureGoogle CloudKafkaRedisVMs

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

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

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

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

Occasional travel up to 20%

Preferred

Experience in Elasticsearch, Vector and GenAI

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

Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions

Hands-on experience and an understanding of Elasticsearch and/or Lucene

Understanding and passion for open-source technology and knowledge and proficiency in at least one programming language

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