Description
We are on the lookout for a Principal Software Engineer I 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.
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.
A strong background in distributed systems and consensus algorithms.
Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
Deep technical proficiency in algorithms.
Ability to understand and work on complex, highly distributed systems.
Ability to build and debug features with a broad impact, running on multiple machines.
Experience managing projects involving multiple engineers.
Bonus points for data stores, search, analytics, Lucene, strong knowledge of the JDK, and asynchronous event-driven network frameworks such as Netty.