Senior Technical Consultant - ElasticSearch

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 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 Strong understanding of distributed search systems and large-scale infrastructure. Proficiency in at least one programming language; familiarity with open-source ML/AI frameworks preferred. Knowledge or experience with Lucene, databases, Linux, Java, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) . Familiarity with DevOps practices relevant to search solution deployment (Docker, Kubernetes, Terraform, CI/CD). Ability to manage delivery from proof-of-concept through production rollout , while mentoring client teams for long-term success. Familiarity with modern AI/NLP ecosystems , including transformers, Hugging Face, and vector databases (e.g., Pinecone, Weaviate) as applied to search. Strong communication and presentation skills , with experience collaborating directly with customers to gather requirements and deliver search solutions. ... (truncated, view full listing at source)