Teams at Elastic

Build and evolve the Elastic MCP server and tooling (primarily in Go), create a portable platform for agent skills, design third-party AI ecosystem integrations, enhance the Elastic CLI, and develop/maintain libraries and integrations (including Rust). Drive correctness via evals, collaborate with product and external partners, and prioritize developer experience and product thinking across fast-changing, ambiguous work.

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 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.