Consulting Architect, Elasticsearch

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people.

The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter.

By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.

What is The Role :

You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats. This is a meaningful role, as a Consulting Architect, Search you have an outstanding chance to create an immediate impact on the success of Elastic and our customers.

What You Will Be Doing :

• 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

What You Will Bring :

• 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
• Experience in Elasticsearch, Vector and GenAI preferred
• 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
• Excel at working directly with customers to gather, prioritize, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficiency in at least one programming language
• 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%

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