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.

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

• Deep knowledge of Java internals and JVM memory management. You understand concurrency models and can write code that is high-performance, thread-safe, and lock-free in large open-source and enterprise codebases.
• Proven experience in profiling and optimizing distributed systems, including deep experience with benchmarking tools (e.g., JMH, Rally), identifying performance regressions, and implementing algorithmic or hardware-aware optimizations.
• 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 across functions and teams, and seamlessly transition between different projects, codebases, or teams based on business priorities.
• Ability to work autonomously, drive decisions, and deliver results 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.

Compensation & Benefits

• Typical starting salary range: 307 800 zł — 486 900 zł PLN (base salary)
• Health coverage for you and your family in many locations
• Flexible location and schedule support
• Generous paid time off / vacation days
• Up to 16 weeks of paid parental leave
• Charitable donation matching (up to $2,000 USD equivalent) and 40 volunteer hours annually