What You'll Be Doing

Designing, building, and operating core components of the Serverless Elasticsearch offering with a focus on distributed systems.
Improving concurrent and consistent indexing across multiple machines in Elasticsearch.
Maintaining cluster coordination to ensure high performance and system safety despite node changes.
Scaling Elasticsearch to handle large numbers of shards, nodes, and petabytes of data.
Investigating and resolving performance, concurrency, and stability issues.
Supporting support engineers with complex problems.
Owning operational investigations end-to-end to resolve issues.

Requirements

Deep background in distributed systems and consensus algorithms.
Strong core Java skills, including data structures, concurrency constructs, and newer language features.
High technical proficiency in algorithms.
Experience building large-scale distributed systems firsthand.
Experience debugging complex features running on multiple machines.
Ability to own projects fully from design to development.
Experience managing projects involving multiple engineers.
Proven track record of leveraging AI to accelerate development, debug systems, and optimize code while owning final outcomes.
Ability to collaborate across teams and transition between projects based on priorities.
Capability to work autonomously and drive results within distributed teams using transparent communication.

Competitive pay based on work performed, not previous salary.
Health coverage for employees and families in many locations.
Flexible schedules and location options for many roles.
Generous vacation allowance yearly.
Matching up to $2,000 (or local equivalent) for financial donations and service.
Up to 40 hours annually for volunteer projects.
At least 16 weeks of parental leave.
Commitment to diversity, equity, inclusion, and accessibility.