Principal Java Developer - Distributed Systems, Serverless - Elasticsearch

A strong background in distributed systems and consensus algorithms.

You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.

This covers both technical design and working with others to develop needed components.

You have experience managing projects involving multiple engineers.

Search, analytics, Lucene

Strong knowledge of the JDK

Elasticsearch - Distributed Systems team

and focus on how Elasticsearch provides scale, performance, and resilience.

This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes.

Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines.

Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.

Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today