What You'll Be Doing

Designing, building, and operating core parts of the Serverless Elasticsearch offering with a focus on distributed systems.
Enhancing Elasticsearch components for concurrent and consistent indexing across multiple machines.
Maintaining cluster coordination to ensure high performance and system stability despite node changes and data movement.
Scaling Elasticsearch to handle more shards, nodes, and petabytes of data.
Investigating and solving performance, concurrency, and other complex issues.
Supporting support engineers with difficult technical problems.
Owning operational investigations until performance or stability issues are resolved.

Requirements

Strong background in distributed systems and consensus algorithms.
Proficient in core Java, including data structures, concurrency constructs, and modern language features.
Deep technical knowledge of algorithms.
Experience building large-scale distributed systems rather than using off-the-shelf services.
Skill in building and debugging complex, multi-machine features with broad impact.
Ability to own projects end-to-end, including technical design and collaboration.
Experience managing multi-engineer projects.
Proven track record of utilizing AI to accelerate development, debug systems, and optimize code while owning outcomes.
Strong collaboration skills across functions and teams with ability to switch between projects and codebases.
Ability to work autonomously and drive results within distributed teams using asynchronous and transparent communication.

Competitive pay based on your work and not previous salary.
Health coverage for you and your family in many locations.
Flexible locations and schedules for many roles.
Generous vacation allowance each year.
Matching donations up to $2000 (or local currency equivalent) for financial donations and service.
Up to 40 hours yearly for volunteer projects you care about.
Parental leave of at least 16 weeks.
Inclusive culture valuing diversity, with equal opportunity employment.