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Design, implement, and optimize Elasticsearch core storage and query engine for observability workloads. Lead architecture, resolve performance bottlenecks, improve storage/indexing/query execution, mentor engineers, drive cross-team initiatives, collaborate with global community, and write idiomatic modern Java.

Work on Elasticsearch distributed systems to improve concurrent, consistent indexing, cluster coordination, performance, and scalability. Diagnose performance and concurrency issues, push limits on shards/nodes/petabytes, and own end-to-end projects while supporting support engineers on complex problems.

Lead development of core Elasticsearch infrastructure and shared platform features. Design scalable APIs, solve performance and concurrency issues, improve observability and CI/CD, support cross-team projects, and own operational investigations end-to-end.

The role involves improving Elasticsearch's distributed components, maintaining cluster coordination systems, and addressing complex issues to optimize performance and scalability.

Design, implement, and scale Elasticsearch distributed systems: improve concurrent indexing, maintain cluster coordination, optimize performance at petabyte scale, debug concurrency and performance issues, and lead cross-engineer projects.

Design, implement, and scale Elasticsearch distributed systems to improve indexing, coordination, replication, and cluster resilience. Diagnose performance and concurrency issues, push limits on shards/nodes/petabytes, own projects end-to-end, and support engineering and support teams on complex, multi-node problems.

Design, implement, and optimize Elasticsearch core storage and query engine for logs and metrics. Lead architectural improvements, resolve performance bottlenecks, mentor engineers, drive cross-organizational initiatives, triage community issues, and write idiomatic modern Java for high-performance distributed systems.

The Senior Java Developer will enhance Elasticsearch's distributed systems, maintain high performance, and solve complex problems related to data indexing and coordination across multiple machines.

Serve as technical presales lead for Elastic in the assigned territory: advise sales and partners, design solutions using Elastic products, drive customer discovery to technical wins, enable partners, represent Elastic at events, and relay customer feedback to product teams. Travel ~30% regionally and occasionally internationally.

Provide in-house product and IP legal counsel across patent prosecution, IP portfolio management, brand protection, open-source licensing, and product launch readiness. Support invention harvesting, draft and review IP-related commercial contract clauses, assist with AI governance and trade compliance, conduct legal research and diligence, and collaborate cross-functionally with engineering, product, privacy, and commercial teams.