Teams at Elastic

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.

Design and improve Elasticsearch distributed-systems components for consistent, concurrent indexing and cluster coordination. Scale shards, nodes, and petabyte datasets, diagnose performance and concurrency issues, support operations/support teams, and own end-to-end projects including technical design and cross-team development.

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.