What You'll Be Doing

Leverage distributed systems expertise to build and operate core components of the next-generation Serverless Elasticsearch offering.
Improve Elasticsearch components supporting concurrent and consistent indexing across multiple machines.
Maintain cluster coordination system to ensure high performance and system safety despite node changes and data movement.
Push limits on the number of shards, nodes, and petabytes Elasticsearch can handle.
Investigate performance and concurrency issues and propose solutions.
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 newer language features.
Deep technical proficiency in algorithms.
Experience working with complex, highly distributed systems rather than off-the-shelf services.
Ability to build and debug features that run across multiple machines with broad impact.
Capability to own projects end-to-end, including technical design and collaboration.
Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
Strong collaboration skills and ability to transition smoothly across projects, codebases, and teams.
Autonomous worker who drives decisions and results using asynchronous, direct, and transparent communication.

Competitive pay based on work performed, not previous salary.
Health coverage for employees and their families in many locations.
Flexible locations and schedules for many roles to help craft your own calendar.
Generous vacation days each year.
Matching up to $2000 (or local currency equivalent) for financial donations and service.
Up to 40 hours annually to use toward volunteer projects you care about.
Minimum of 16 weeks parental leave to support parenthood.