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Senior SRE Engineer designs, automates, and maintains AWS cloud infrastructure and reliability pipelines using Terraform, Kubernetes, and Datadog to ensure scalable, secure systems.
Senior JavaScript engineer building scalable Node.js backend services and serverless architectures on AWS (Lambda, SQS, SNS, DynamoDB) in a hybrid role in Barcelona.
Senior Java developer building and optimizing Elasticsearch’s distributed, serverless search platform, focusing on scalability, resilience, and performance across large-scale clusters.
Principal Java developer designs and builds core distributed systems for Elasticsearch’s serverless offering, focusing on scale, resilience, and performance across large-scale clusters.
Senior Java developer building core infrastructure for Elasticsearch, focusing on performance, security, and extensibility using Java, CI/CD, and observability tools.
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 lead the implementation and design of Elastic's security and search solutions for enterprise customers. This role involves hands-on technical delivery, architectural planning, and collaborating with sales and engineering teams to drive customer success.
Optimizes compute resources for Elastic’s cloud-hosted and serverless workloads, ensuring seamless scaling across 60+ regions via capacity modeling, autoscaling frameworks, and cross-team collaboration.
Principal Java developer designing and optimizing Elasticsearch’s distributed, serverless search platform, focusing on scalability, resilience, and performance at petabyte scale.
Senior Java developer building core infrastructure for Elasticsearch, focusing on APIs, performance, and observability while collaborating across teams to improve developer productivity.
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.
Lead performance engineering for Elasticsearch—architectural and code-level optimization, profiling, benchmarking, and building AI-assisted tools across a large-scale distributed search engine. Core tech: Java, JVM, Elasticsearch.
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