What You'll Be Doing

Designing, building, and operating core components of the next-generation Serverless Elasticsearch offering with a focus on distributed systems.
Improving Elasticsearch’s indexing components for concurrency and consistency across multiple machines.
Maintaining cluster coordination to ensure high performance, safety, and liveness despite node dynamics and data movement.
Scaling Elasticsearch to handle large numbers of shards, nodes, and petabytes of data.
Investigating and resolving performance and concurrency issues.
Supporting support engineers with complex problems.
Leading operational investigations until performance or stability issues are resolved.

Requirements

Deep background in distributed systems and consensus algorithms.
Strong skills in core Java, including data structures, concurrency constructs, and modern language features.
Advanced technical proficiency in algorithms.
Experience building large-scale distributed systems from the ground up.
Proven experience building and debugging complex, multi-machine features with broad impact.
Ability to own projects from design through development and collaboration.
Experience managing projects involving multiple engineers.
Track record of leveraging AI to accelerate development, debug systems, and optimize code while owning final outcomes.
Strong collaboration skills across teams with adaptability to switch projects and codebases based on business priorities.
Ability to work autonomously and drive results in a distributed team using asynchronous and transparent communication.

Competitive pay based on your work, 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 up to $2000 (or local currency equivalent) for financial donations and volunteering.
Up to 40 hours annually to dedicate to volunteer projects you care about.
Minimum of 16 weeks of parental leave to support parenthood.