Senior Technical Consultant - ElasticSearch

What is the Role

As a Sr. Technical Consultant – Search, you will play a pivotal role in helping our customers realize the value of Elastic’s Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.

You’ll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Search platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

What You Will Be Doing

• Translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack
• Lead end-to-end delivery of customer engagements — from discovery and design through implementation, enablement, and optimization
  
  
• Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption
  
  
• Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles
  
  
• Collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement
  
  
• Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community
  
  
• Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration
  
  
• Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale
  
  
• Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback
  
  
• Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic’s vector capabilities and ML models or similar
• Profile and tune queries for high-QPS environments with sub-second latency targets
  
  

What You Bring

• 5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies, including Elasticsearch and related search platforms (Solr, Algolia, AWS OpenSearch, Unbxd, e-commerce search engines).

• Hands-on experience designing and deploying search solutions, including:

  • Custom search architectures

  • Query development and relevance tuning

  • NLP-based search use cases and AI-powered search