We are on the lookout for a Senior Software Engineer to join our 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.

What you will be doing:

• 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.
• Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.
• Supporting our support engineers with the harder problems.

What you will bring along:

• A strong background in Distributed Systems and consensus algorithms.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas.
• You have a deep technical proficiency in algorithms.
• You have shown your ability to understand and work on complex, highly Distributed Systems.
• You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.
• You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.

Bonus points for knowledge of:

• Data stores.
• Search, analytics, Lucene.
• Strong knowledge of the JDK.
• Asynchronous event-driven network frameworks such as Netty.