Senior Performance Engineer - Distributed Systems & AI

Elastic

Polska

Remote

PLN 308,000 - 487,000

Full time

9 days ago

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Job summary

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 —

Qualifications

Deep knowledge of Java internals and JVM memory management.
Understanding of concurrency models and high-performance, thread-safe coding.
Experience with large open-source and enterprise codebases.
Proven profiling and optimization of distributed systems.
Experience with benchmarking tools (JMH, Rally) and AI-assisted optimization.

Responsibilities

Contribute to core performance initiatives from development to production.
Execute technical designs for architectural and code-level performance improvements.
Implement performance models and methodologies for distributed systems.
Support optimization strategies to keep Elasticsearch performant and scalable.
Profile and analyze system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL.
Ensure robust benchmarks and regression detection for stateful and Serverless architectures.
Collaborate with peers to apply performance-focused practices to new features.
Build AI-assisted optimization harnesses to streamline profiling and benchmarking.
Provide technical guidance and peer reviews to engineers.