Remotely
javaelasticsearchdistributed systemsjvmvector searchrallyflamegraphsjmh
Job Description
📋 Description
- Lead architecture and code-level performance initiatives for Elasticsearch.
- Own performance engineering from design to production.
- Profile and optimize logging, metrics, vector search, and ES|QL.
- Build robust benchmarks and detect regressions in stateful/serverless setups.
- Embed performance-first thinking into new features across teams.
- Drive automation for profiling, hypothesis testing, and benchmarking.
🎯 Requirements
- Deep knowledge of Java internals and JVM memory management.
- Experience profiling and optimizing distributed systems with tools (flamegraphs, JMH, Rally).
- Strong understanding of distributed systems, partition tolerance, and scaling in large stores.
- Proven track record using AI/advanced tooling to accelerate optimization.
- Ability to collaborate across functions and work autonomously.
🎁 Benefits
- Competitive pay with comprehensive health coverage.
- Flexible locations and schedules for many roles.
- Generous vacation time and donation matching program.
- Volunteer hours and supportive parental leave.