Senior Technical Consultant - 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.

What Is The Role

Come join our team as a Consulting Architect, ElasticSearch and step into a world of possibilities where collaboration knows no bounds. As an integral part of our diverse community, you'll work alongside a dynamic mix of professionals from services, engineering, and sales backgrounds, each bringing their unique perspective to the table. Together, we'll shape the success story of both Elastic and our cherished customers.

What You Will Be Doing

• 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.

What You Will Bring 

• 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.

Bonus Points:

• 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.

Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  

The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. 

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.  

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportuni