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Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Principal Search Architect designs and scales massive Elasticsearch clusters for Fortune 500 clients, integrating AI-powered semantic search and optimizing distributed systems for high-performance retrieval.
Principal Search Architect designs and scales massive Elasticsearch clusters for Fortune 500 clients, integrating AI-powered semantic search and optimizing distributed retrieval systems.
Partner Solution Architect at Elastic in France, designing and enabling AI-powered search and observability solutions for partners, requiring 8+ years in tech and cloud architecture with 30% travel.
Partner Solutions Architect at Elastic designs and implements tailored AI-powered search and observability solutions with key partners, bridging technical capabilities to business outcomes.
Partner Solution Architect for LATAM, driving growth with and through partners, architecting leverage, and co-innovating on repeatable solutions. Core technologies: Elastic Search AI Platform, cloud-based solutions for search, security, and observability.
Partner Solutions Architect at Elastic enables partners to sell and deliver Elastic’s Search AI platform, building technical capacity through enablement, certifications, and co-innovated solutions.
Senior Software Developer on the Elasticsearch Performance team, contributing to performance engineering initiatives, optimizing Elasticsearch performance, and working with distributed systems and AI-assisted optimization harnesses.
Senior Software Engineer on the Elasticsearch Performance team, focused on profiling, benchmarking, and optimizing distributed search systems using Java/JVM.
Principal Software Engineer leading performance tuning and optimization of Elasticsearch—profiling bottlenecks, building benchmarks, and driving architectural improvements across distributed, serverless, and vector search workloads using Java/JVM internals.
Leads architectural and code-level performance engineering for Elasticsearch, optimizing search, observability, and AI retrieval systems to ensure scalability, predictability, and high performance across distributed environments.
Leads architectural and code-level performance engineering initiatives for Elasticsearch, driving optimization, predictability, and scalability in distributed systems using Java, JVM internals, and performance tools like flamegraphs and JMH.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database, shaping search/AI tech for Fortune 500 clients. Owns vision, technical trade-offs, and cross-team alignment for vector indexing, retrieval quality, and developer-facing APIs.
The Consulting Architect will serve as a technical authority helping enterprise customers design, optimize, and scale complex Elasticsearch cluster topologies. The role involves hands-on work with AI-powered semantic search, performance tuning, and cloud-native infrastructure to ensure successful deployments.
Partner Solution Architect at Elastic helps technical partners in EMEA integrate and sell Elastic’s AI-powered search, security, and observability platform, traveling up to 30% to co-architect solutions and drive adoption.
Partner Solutions Architect at Elastic builds technical capacity in partners (SI, resellers, MSSPs) to sell and deliver Elastic’s search, security, and observability solutions, driving partner-sourced deals and co-innovating repeatable solutions.
Senior Software Developer on the Elasticsearch Performance team, optimizing distributed search and AI retrieval systems through profiling, benchmarking, and code-level improvements in Java/JVM.
Senior Software Engineer on the Elasticsearch Performance team, profiling and optimizing a large-scale distributed search engine using Java/JVM, benchmarking tools, and AI-assisted workflows.
A Principal Software Developer focused on performance tuning for Elasticsearch, leading architectural and code-level performance engineering initiatives, optimizing distributed systems, and developing performance models and methodologies for complex systems.
Leads performance engineering for Elasticsearch, optimizing architecture and code to ensure high scalability, predictability, and predictability for search, observability, and AI retrieval systems used by Fortune 500 companies.
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