What You'll Be Doing

Building and operating core components of the Serverless Elasticsearch offering using distributed systems expertise.
Improving components supporting concurrent and consistent indexing across multiple machines.
Maintaining cluster coordination system to ensure high performance and system safety despite node changes and data movement.
Enhancing scalability to handle increased shards, nodes, and petabytes of data.
Investigating performance and concurrency issues and proposing effective solutions.
Supporting support engineers with complex problems.
Owning 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 new language features.
Technical proficiency in algorithms.
Experience working on complex, highly distributed systems rather than relying on off-the-shelf services.
Ability to build and debug features with broad impact running on multiple machines.
Capability to own projects end-to-end, including technical design and collaboration with others.
Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
Ability to collaborate across teams and quickly switch between projects, codebases, or teams.
Autonomous work style with strong decision-making and communication skills in a distributed team setting.

Competitive pay based on work performed, independent of previous salary.
Health coverage for employees and their families in many locations.
Flexible locations and schedules for many roles to support work-life balance.
Generous vacation allowance each year.
Matching donations up to $2000 (or local currency equivalent) for financial contributions and service.
Up to 40 hours annually for volunteer projects.
Minimum of 16 weeks of parental leave to support parenthood.