Elastic

Elastic

Principal Search Consulting Architect

United States · Principal

Sponsorship not specified$160k-$253kDetected 5 days ago
PythonJavaGoNode.jsDistributed SystemsElasticsearchVector DatabasesAWSGCPAzureCloud PlatformsDockerMachine LearningNLPLLMsRAGAI OrchestrationAccessibilitySystems EngineeringLeadershipCommunicationMentoring

About the role

  • 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.
  • You will bridge the gap between business strategy and cutting-edge distributed systems engineering, collaborating directly with Elastic's global Professional Services leadership, Core Engineering, Product Management, and Sales executives.
  • The typical starting salary range for new hires in this role is listed below.

Responsibilities

  • Lead the overarching technical strategy and design authority for high-stakes customer engagements-from initial node blueprinting and capacity planning to custom mappings, shard strategy, Index Lifecycle Management (ILM), and cross-cluster replication (CCR/CCS).
  • Collaborate cross-functionally with Elastic Product Management and Core Engineering to influence the Elasticsearch codebase roadmap, surface edge-case bugs, and drive feature enhancement requests based on enterprise field realities.
  • Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders.

Requirements

  • Cloud-Native Infrastructure: Advanced knowledge of orchestrating massive Elasticsearch workloads across cloud platforms (AWS, Azure, GCP) using cloud-native patterns, Docker, and Terraform.
  • Polyglot Coding: Strong proficiency in multiple programming languages (e.g., Java, Python, Go) with extensive experience utilizing official Elasticsearch client libraries and building custom plugins.
  • Global Mindset: Comfortable working effectively across highly distributed, global teams and traveling to client sites as required for strategic architectural engagements.
  • 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.
  • we need you for what you can do.
  • Comfortable working effectively across highly distributed, global teams and traveling to client sites as required for strategic architectural engagements.
  • 8+ years as a Principal Architect, Lead Engineer, or Senior Systems Consultant with recognized, deep technical expertise specifically focused on Elasticsearch at a massive scale.
  • Elasticsearch Internals Mastery: Comprehensive understanding of distributed systems theory as it applies to Elasticsearch, including consensus protocols, internal node roles (master, data, ingest, machine learning), Apache Lucene indexing mechanics, and cluster state management.
  • AI-Powered Search Expertise: Proven track record of deploying production-grade semantic search solutions using Elasticsearch's native ML nodes, dense/sparse vector fields, and integrations with modern NLP frameworks and LLM orchestration tools.
  • Elite Communication: Exceptional presentation and storytelling skills, with verified experience commanding a room of executive stakeholders to align technical Elasticsearch roadmaps with core business strategy.
  • Education: Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent deep industry experience.
  • 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.

Skills

  • What is the Role
  • What You Will Be Doing

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.
  • 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.

Benefits

  • 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.
  • Generous number of vacation days each year
  • Embracing parenthood with minimum of 16 weeks of parental leave
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
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This listing is sourced directly from Elastic's careers page and normalized into a canonical job model.