[Remote] Senior Technical Consultant - Elasticsearch

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Note: The job is a remote job and is open to candidates in USA. Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. They are seeking a Senior Technical Consultant specializing in Elasticsearch to deliver solutions, build customer relationships, and create proof-of-concepts that demonstrate the value of the Elastic Stack.


Responsibilities

  • Your journey with us will be defined by delivering Elastic solutions and applying your expertise in the Elastic Stack to drive real, tangible value for our clients. You won't just be another cog in the machine; your contributions will be pivotal in conducting workshops that map out strategies, design roadmaps, and plan capacities in environments critical to our customers' success.
  • Building lasting relationships with our customers is at the heart of what we do. You'll champion their needs, advocate for them, and ensure their voices are heard loud and clear. And all of this will happen in a remote, highly distributed team setup where your individuality and unique background will be celebrated.
  • As a Consulting Architect, Search you'll be entrusted with the task of creating captivating proof-of-concepts that highlight the value proposition of the Elastic Stack and its solutions. Your expertise will be the driving force behind accelerating the adoption of Elastic solutions, optimizing queries, fine-tuning clusters, and delivering lightning-fast search and analytics at scale.
  • In this role, collaboration isn't just a buzzword; it's our way of life. You'll work closely with our engineering, product management, and support teams, ensuring that your insights and feedback from the field shape our products and services. Together, we'll assess technical aspects, identify risks, and seize opportunities to tailor engagements effectively alongside our sales team.

Skills

  • Must have hands-on experience with Elasticsearch and/or Lucene.
  • Validated experience as a Search Engineer or Search Architect, with a solid grasp of Elasticsearch, Vector Search, and GenAI technologies.
  • Deep understanding of E-Commerce search solutions, query development, relevancy tuning, and implementing Natural Language Processing (NLP) use cases.
  • A background in open-source machine learning frameworks like PyTorch, backed by a degree in Computer Science or related field (or equivalent experience).
  • A genuine passion for open-source technology and proficiency in at least one programming language.
  • Strong knowledge of large distributed systems and application infrastructure.
  • Flexibility to travel occasionally for business needs.
  • Big 4 consulting.
  • Elastic Certified Engineer certification.
  • Proficiency in Ansible, JavaScript, Terraform, ECK, or Kubernetes.
  • Expertise in machine learning and Artificial Intelligence (AI).
  • Deep understanding of Java and Linux/Unix environments.
  • Contributing to open-source projects or documentation.

Benefits

  • 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

Company Overview

  • Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases. It was founded in 2012, and is headquartered in Mountain View, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.elastic.co.

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