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, focusing on optimizing and predicting Elasticsearch performance. You will collaborate with area-specific teams, implement foundational performance models, and support optimization strategies. Additionally, you will profile and analyze system behavior, ensure robust performance benchmarks, and provide technical guidance to other engineers. This position offers flexible location and schedule, fully paid health coverage, generous vacation days, and more.

• Contribuir a iniciativas de ingeniería de rendimiento desde el desarrollo hasta la producción, centrándose en la entrega de optimizaciones impactantes.
• Implementar modelos y metodologías de rendimiento fundamentales para sistemas distribuidos complejos.
• Colaborar con compañeros de equipo para aplicar prácticas de desarrollo centradas en el rendimiento en nuevas funciones.

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