Senior Software Engineer - Performance Tuning - Elasticsearch in Katowice

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.

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.

Co będziesz robić:

• 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.

Co przynosisz:

• Deep knowledge of Java internals and JVM memory management.
• Understanding of how concurrency models work.
• Ability to write high-performance, thread-safe, and lock-free code.
• Proven experience in profiling and optimizing distributed systems.
• Solid comprehension of distributed systems architecture, including partition tolerance, cluster state propagation, and scaling challenges in large-scale data stores.
• Proven track record of using AI or advanced tooling to accelerate optimization, debug complex performance issues, and automate benchmarking workflows.
• Ability to collaborate effectively within a team environment.
• Ability to work autonomously and drive decisions in a distributed team.

Dodatkowe punkty:

• 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.

Wynagrodzenie:

Wynagrodzenie za tę rolę jest w formie podstawowej pensji. Ta rola nie ma zmiennego składnika wynagrodzenia. W Elastic nasza filozofia wynagrodzeń ma na celu zapewnienie sprawiedliwego, konkurencyjnego i przejrzystego wynagrodzenia. Zakresy wynagrodzeń są ustalane na podstawie kombinacji zewnętrznych benchmarków rynkowych, wewnętrznych rozważań dotyczących równości płac oraz odpowiedzialności i złożoności związanej z każdą rolą. Typowy zakres wynagrodzenia dla tej roli wynosi: 307 800 zł—486 900 zł PLN.