Senior Software Engineer - Performance Tuning - Elasticsearch

What you'll do

• Develop and deliver architectural and code-level performance improvements, including foundational performance models for distributed systems.
• Profile and analyze Elasticsearch bottlenecks and maintain benchmarks and regression detection across stateful and Serverless architectures.
• Build AI-assisted optimization automation and provide technical guidance and peer reviews.

What they ask for

• Deep knowledge of Java internals, JVM memory management, and concurrency; ability to write high-performance, thread-safe, lock-free code.
• Proven experience profiling and optimizing distributed systems, using benchmarking tools, detecting regressions, and implementing optimizations.
• Solid understanding of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges.
• Proven track record using AI or advanced tooling to accelerate optimization, debug performance issues, and automate benchmarking workflows.

Nice to have

• Experience integrating high-performance native libraries such as C++, Rust, or SIMD-accelerated code into Java applications.
• Knowledge of storage engine performance, index modes, vector search optimization, performance SLAs, or large-scale data store/search engine internals.

Pay

$133,100 — $210,600 USD (base salary); $159,900 — $252,900 USD (base salary)

Tools

Java, JVM, JMH, Rally, C++, Rust, SIMD

AI focus

Build AI-assisted optimization harnesses for profiling, hypothesis testing, benchmarking, and performance debugging.