Senior Software Engineer - Performance Tuning - Elasticsearch

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software.

What You Will Be Doing

Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements.

Implementing foundational performance models and methodologies for complex, distributed systems.

Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments.

Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL.

Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures.

Collaborating with peers across the team to apply performance-focused development practices into new features.

Contributing to automation efforts by building AI-assisted optimization harnesses that streamline profiling, hypothesis testing, and benchmarking.

Providing technical guidance and peer reviews to other engineers, fostering a culture of technical excellence.

What You Bring

You have deep knowledge of Java internals and JVM memory management. You understand how concurrency models work. You can write code that is high-performance, thread-safe, and lock-free. This experience includes working with large open-source and enterprise codebases.

You have proven experience in profiling and optimizing distributed systems. This includes deep experience with benchmarking tools (e.g., JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimizations.

You have a solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores.

You have a proven track record of using AI or advanced tooling to accelerate optimization, debug complex performance issues, and automate benchmarking workflows.

You possess the ability to collaborate effectively within a team environment, contributing to the success of performance engineering goals.

You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities

You can work autonomously, drive decisions, and result in a distributed team by leveraging asynchronous, direct, and transparent communication.

Bonus Points

Experience integrating high-performance native libraries (e.g., C++, Rust, SIMD-accelerated code) into Java applications.

Deep knowledge of modern storage engine performance, index modes, or vector search optimizations.

Experience defining and managing Performance SLAs and success criteria for distributed systems.

Experience working on the internals of a large-scale data store or search engine.

Experience working on th