Consulting Architect, Elasticsearch

Elasticsearch • Full-time • Washington, DC, US • $133.10k - $210.60k / year • 4w ago

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:

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%

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 opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:

$133,100—$210,600 USD

The typical starting salary range for this role in the select locations listed above is:

$159,900—$252,900 USD

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.

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 minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Poster; Poster; Poster and (Poster)

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. 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.

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