What You'll Be Doing

Designing, building, and operating core components of the next-generation Serverless Elasticsearch offering with a focus on scale, performance, and resilience.
Improving Elasticsearch’s concurrent and consistent indexing across multiple machines.
Maintaining cluster coordination to ensure high performance and system safety despite node changes and data movements.
Scaling Elasticsearch to handle more shards, nodes, and petabytes of data.
Investigating and solving performance and concurrency issues.
Supporting support engineers with complex problems.
Owning operational investigations from start to resolution for performance and 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 building large-scale distributed systems rather than using off-the-shelf services.
Experience building and debugging complex features running on multiple machines.
Ability to own projects end-to-end including technical design and collaboration.
Experience managing projects involving multiple engineers.
Proven track record using AI to accelerate development, debug systems, and optimize code while owning outcomes.
Ability to collaborate across functions and transition between projects, codebases, or teams based on priorities.
Capability to work autonomously and drive decisions and results in a distributed team with transparent communication.

Competitive pay based on the work performed, not previous salary.
Health coverage for employees and their families in many locations.
Flexible schedules and locations for many roles to balance work and life.
Generous vacation days.
Matching up to $2000 (or local equivalent) for financial donations and volunteer services.
Up to 40 hours annually for volunteer projects.
Minimum of 16 weeks parental leave.
Inclusive culture valuing diverse perspectives and backgrounds.