Consulting Engineer - ElasticSearch
Consulting Engineer - ElasticSearch
Consulting Engineer - ElasticSearch
Elastic
The Consulting Engineer - Search role at Elastic involves acting as a trusted technical advisor to help customers leverage Elastic's solutions for improved application performance and data utilization. The position requires collaboration with various teams to ensure successful implementation and optimization of the Elastic Observability platform, ultimately driving business outcomes for clients.
Qualification
- Experience with the Elastic Stack and its components.
- Strong understanding of search technologies and architectures.
- Proven ability to translate complex technical concepts to non-technical stakeholders.
- Experience in customer-facing roles, particularly in consulting or technical advisory positions.
- Ability to lead projects and collaborate with cross-functional teams.
- Strong problem-solving skills and a focus on delivering measurable outcomes.
- Experience with performance tuning and optimization of search queries and indexing.
Responsibility
- 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.
