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Principal Search Consulting Architect

1 month ago
Brazil
Full-time
Lead
Solutions Architect
Software Development
AWS Azure Docker Elasticsearch GCP Go Java Machine Learning Python Terraform
Apply Now
Elastic

Elastic

Elastic is a leading platform for search-powered solutions, providing real-time insights and making data usable for developers and enterprises worldwide.

Internet Software & Services
1K-5K
Founded 2010
View All Jobs 81

Description

  • Translate complex business requirements into resilient enterprise retrieval architectures built on Elasticsearch.
  • Lead technical strategy and design for customer engagements, including node blueprinting, capacity planning, mappings, shard strategy, ILM, and CCR/CCS.
  • Design and operationalize semantic search architectures using vector search, hybrid retrieval, and RAG pipelines.
  • Profile, benchmark, and tune distributed search and indexing performance to meet ultra-low-latency SLA targets.
  • Architect high-throughput ingestion strategies for petabyte-scale indexing and efficient cluster operations.
  • Collaborate with Product Management and Core Engineering to influence the Elasticsearch roadmap, report bugs, and request enhancements.
  • Capture and publish best practices, reference architectures, and reusable solution patterns.
  • Lead internal enablement efforts and mentor senior engineers and technical staff.
  • Partner with global Professional Services, Sales leadership, and enterprise stakeholders on strategic architecture decisions.
  • Guide cluster migrations and establish regional architectural standards.

Requirements

  • 8+ years of experience as a Principal Architect, Lead Engineer, or Senior Systems Consultant focused on Elasticsearch at large scale.
  • Deep understanding of Elasticsearch internals, distributed systems theory, consensus protocols, node roles, Lucene indexing mechanics, and cluster state management.
  • Proven experience delivering production semantic search solutions using native ML nodes, dense/sparse vectors, and NLP/LLM orchestration tools.
  • Advanced experience orchestrating Elasticsearch workloads across AWS, Azure, or GCP using cloud-native patterns, Docker, and Terraform.
  • Strong proficiency in multiple programming languages such as Java, Python, or Go.
  • Experience using official Elasticsearch client libraries and building custom plugins.
  • Exceptional presentation and storytelling skills with experience engaging executive stakeholders.
  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent deep industry experience.
  • Comfort working across distributed global teams and traveling to client sites as required.

Benefits

  • Competitive pay based on the work you do here rather than your previous salary.
  • Health coverage for you and your family in many locations.
  • Flexible locations and schedules for many roles.
  • Generous vacation days each year.
  • Up to $2,000 in matching donations for financial donations and service, or local currency equivalent.
  • Up to 40 hours each year for volunteer projects.
  • Minimum of 16 weeks of parental leave.

Interested in this position?

Apply directly on the company website

Apply Now

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