Senior Software Developer, Performance Tuning, Elasticsearch

What you'll do

• Execute technical designs and plans for architectural and code-level performance improvements in Elasticsearch.
• Implement foundational performance models and methodologies for complex, distributed systems.
• Profile and analyze system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL.
• Establish robust performance benchmarks and regression detection for stateful and stateless architectures.
• Build AI-assisted optimization harnesses to streamline profiling, hypothesis testing, and benchmarking workflows.
• Provide technical guidance and peer reviews to other engineers to ensure high-quality code.
• Integrate high-performance native libraries and optimize vector search components.

What we're looking for

• You must have deep knowledge of Java internals, JVM memory management, and concurrency models.
• You must be able to write high-performance, thread-safe, and lock-free code for large open-source or enterprise codebases.
• You must have proven experience profiling and optimizing distributed systems using benchmarking tools like JMH and Rally.
• You must have a solid understanding of distributed systems architecture, including partition tolerance and cluster state propagation.
• You must have a track record of using AI or advanced tooling to automate benchmarking and debug complex performance issues.
• You must be able to work autonomously in a distributed team environment using asynchronous communication.
• Experience integrating high-performance native libraries like C++, Rust, or SIMD-accelerated code is preferred.
• Knowledge of storage engine performance, vector search optimizations, or managing Performance SLAs is preferred.