What You'll Be Doing

Build and operate core components of the next-generation Serverless Elasticsearch offering using distributed systems expertise.
Improve Elasticsearch’s concurrent and consistent indexing components across multiple machines.
Maintain cluster coordination to ensure high performance and system safety despite node changes and data movement.
Expand Elasticsearch’s capacity regarding the number of shards, nodes, and petabytes handled.
Investigate and propose solutions for performance and concurrency issues.
Support support engineers with complex problems.
Own operational investigations end-to-end to resolve performance or stability issues.

Requirements

Deep background in distributed systems and consensus algorithms.
Strong skills in core Java, including data structures, concurrency constructs, and latest language features.
High technical proficiency in algorithms.
Experience working on complex, highly distributed systems beyond off-the-shelf services.
Ability to build and debug multi-machine features with broad impact.
Proven project ownership from technical design through development collaboration.
Track record of using AI to accelerate development, debug complex systems, and optimize code while owning final outcomes.
Capability to collaborate across functions and adapt seamlessly between projects, codebases, or teams based on priorities.
Ability to work autonomously, drive decisions and results in distributed teams via asynchronous and transparent communication.