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Principal Java developer designing and optimizing Elasticsearch’s distributed, serverless search platform, focusing on scalability, resilience, and performance at petabyte scale.
Principal Software Developer designs and optimizes Elasticsearch's core storage and query engine for observability workloads, focusing on performance, scalability, and Java-based solutions.
Principal Software Engineer to lead the design and optimization of Elasticsearch's core storage and query engine, focusing on performance, scalability, and Java-based solutions for observability workloads.
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.
Principal engineer on Elastic's Serverless Control Plane team, designing and building the distributed orchestration services behind Elastic Cloud Serverless using Go, Kubernetes, and cloud-native architectures across AWS, GCP, and Azure.
Principal-level engineer on Elastic Cloud's Platform Infrastructure (Application Networking) team, setting the technical direction for Ingress, private connectivity, DNS, and security controls at scale. Requires deep distributed-systems and cloud-native networking expertise; Kubernetes networking (Cilium, Envoy Gateway, Crossplane) and major-cloud experience are a plus.
Principal Java Engineer designing and building core distributed systems for Elasticsearch’s Serverless offering, focusing on scalability, resilience, and performance in a cloud-based search platform.
Principal Java Engineer designing and optimizing Elasticsearch’s distributed, serverless architecture to handle massive scale, performance, and resilience across global clusters.
Principal Software Engineer at Elastic to lead vector search improvements in Elasticsearch, designing and implementing new features and algorithms in Java for large-scale search systems.
Principal Java developer designs and builds core distributed systems for Elasticsearch’s serverless offering, focusing on scale, resilience, and performance across large-scale clusters.
Principal Software Developer at Elastic to lead the architecture and performance of Elasticsearch's core storage and query engine, primarily using Java for observability workloads.
Principal Software Engineer designs and optimizes Elasticsearch’s core storage and query engine for observability workloads, focusing on performance, scalability, and Java-based systems.
Lead the architecture and technical direction of Elastic’s agent layer for observability data collection, using Go and distributed-systems patterns to scale metrics, logs, and traces.
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.
Principal Software Developer enhancing Elasticsearch's vector similarity search—writing idiomatic Java, designing vector search algorithms, and collaborating with a globally distributed open-source engineering team.
Principal-level Java engineer on Elastic's Elasticsearch Search team, leading design and implementation of vector similarity search features (e.g. HNSW, IVF), fixing bugs, and contributing to Lucene. Work is done collaboratively and asynchronously with a globally distributed open-source team.
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