Elastic Consulting Architect - Search 

United States 

647582892

• 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.

• Validated experience as a Search Engineer or Search Architect, with a solid grasp of Elastic, 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).
• 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.

• 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.

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• 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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic

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

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.

The typical starting salary range for this role is:

$133,100—$210,600 USD

$159,900—$252,900 USD