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Salary
$133k – $211k per year
Location
In office (United States)
Seniority
Architect · 5+ years exp

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 8, 2026. Elastic scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Elastic is a software company that develops Elasticsearch and the Elastic Search AI Platform, offering cloud and self-managed products for enterprise search, security and observability, with operational headquarters in San Francisco and Amsterdam. Founded in Amsterdam in 2012 and listed on the New York Stock Exchange, the company says more than half of the Fortune 500 use its platform, and it works as a distributed organisation. Open roles center on Elasticsearch internals such as vector search, search algorithms, storage and serverless distributed systems in Java, alongside EDR and XDR security engineering, observability, platform infrastructure and product management.

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?

As a Consulting Architect, you will play a pivotal role in helping customers realize the value of Elastic’s Solutions. While your primary focus will be on observability, you are a versatile expert capable of designing and scaling security architectures to strengthen detection, response, and resilience.

Acting as a trusted technical advisor, you will work with enterprises to improve application performance, infrastructure visibility, and end-user experience, while also improving their overall security posture. You will collaborate cross-functionally with Professional Services, Engineering, Product, and Sales to accelerate adoption of the Elastic platform, ensuring customers maximize the value of their data while achieving critical business outcomes.

What You Will Be Doing

  • Solution Design & Delivery: Translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
  • End-to-End Engagement: Lead the delivery of customer projects from discovery and roadmap design through implementation, enablement, and optimization.
  • Architecture: Create 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.
  • Data Engineering: Optimize ingestion pipelines for performance, scalability, and resiliency using Elastic Agents, Beats, Logstash, and stream processing.
  • Actionable Insights: Design and implement custom dashboards, visualizations, detection rules, and alerting in Kibana for both observability and security operations.
  • Technical Leadership: Provide oversight and knowledge transfer to customers and teammates throughout the project lifecycle.
  • Community & Culture: Capture and share best practices and solution patterns, contributing to internal enablement and a culture of continuous learning.

What You Bring

  • Professional Expertise: 5+ years as a consultant, architect, or engineer with deep expertise in Search, and a strong capability in security and Observability domains.
  • Deployment Experience: Proven track record of deploying Elastic Search, Observability (APM, logs, metrics) and Elastic Security (SIEM, endpoint) or similar enterprise-scale solutions.
  • Technical Knowledge:
    • Hands-on expertise with distributed systems, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
    • 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).
  • Security Literacy: Familiarity with incident response workflows and common frameworks such as MITRE ATT&CK, NIST, or ISO 27001.
  • Technical Skills: Proficiency in at least one programming or scripting language (e.g., Python, Java, or PowerShell).
  • Communication: Strong presentation skills with the ability to engage directly with stakeholders and explain complex technical concepts.
  • Education: Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Cybersecurity, or a related field, or equivalent experience.
  • Flexibility: Comfort working in highly distributed, remote teams and a willingness to travel to customer sites as required.

Bonus Points

  • Elastic Certification: Elastic Certified Engineer or deep expertise with Elasticsearch and Lucene.
  • Consulting Background: Prior experience in Big 4 or equivalent professional services environments.
  • Modern Tooling: Experience with Infrastructure-as-Code (Terraform, Ansible) and container orchestration (ECK).
  • Emerging Tech: Knowledge of machine learning or AI as applied to Search, observability and security.

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 employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. 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 [email protected]. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ 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, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). 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.

Please see  here  for our Privacy Statement.

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