Senior Software Engineer (Performance Tuning, Elasticsearch)

Join the Elasticsearch Performance team as a Senior Software Engineer. In this role, you will contribute to performance engineering initiatives, improve the optimization and predictability of Elasticsearch performance, and collaborate with area-specific teams. You will implement foundational performance models, support optimization strategies, profile and analyze system behavior, and ensure robust performance benchmarks. You will also collaborate with peers, contribute to automation efforts, and provide technical guidance to other engineers.

• Contribuir a iniciativas de ingeniería de rendimiento a través de código de alta calidad y análisis técnico.
• Colaborar con equipos específicos de área para mejorar la optimización y la predictibilidad del rendimiento de Elasticsearch.
• Implementar modelos y metodologías de rendimiento fundamentales para sistemas distribuidos complejos.

• 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 possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
• You have a solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores
• You can work autonomously, drive decisions, and result in a distributed team by leveraging asynchronous, direct, and transparent communication
• You possess the ability to collaborate effectively within a team environment, contributing to the success of performance engineering goals
• 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 a proven track record of using AI or advanced tooling to accelerate optimization, debug complex performance issues, and automate benchmarking workflows
• 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 working on the internals of a large-scale data store or search engine
• Experience defining and managing Performance SLAs and success criteria for distributed systems
• Experience working on the internals of a data store or search engine