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.

To thrive in this role, we’re looking for candidates who bring:

  • Validated experience as a Search Engineer or Search Architect, with a solid grasp of Elasticsearch, Vector Search, and GenAI technologies.
  • Data Science degree preferred
  • 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).
  • Hands-on experience with Elasticsearch and/or Lucene.
  • 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.

In addition to the above, bonus points are awarded for experiences such as:

  • Big 4 Consulting experience
  • 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.
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