Principal Software Engineer - Performance Tuning - Elasticsearch

What you'll do

• Lead performance initiatives from design through production, including architectural and code-level optimizations.
• Profile system behavior, build performance models, and maintain benchmarks and regression detection across stateful and Serverless architectures.
• Build AI-assisted optimization tools and collaborate across teams to promote performance-first development; mentor engineers.

What they ask for

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

Nice to have

• Experience integrating native libraries such as C++, Rust, or SIMD-accelerated code into Java applications.
• Knowledge of storage engine performance, index modes, or vector search optimization; experience with performance SLAs or search engine internals.

Pay

$159,800 — $252,800 USD (base salary); $191,900 — $303,500 USD (base salary)

Tools

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

AI focus

Use AI or advanced tooling to accelerate optimization and debugging, and build AI-assisted harnesses to automate profiling, hypothesis testing, and benchmarking.