Senior Software Engineer, Performance & AI Optimizations

Elastic

Mountain View (CA)

Hybrid

USD 133,000 - 211,000

Full time

9 days ago

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Benefits offered by this job

Health coverage
Flexible locations
Generous vacation
Matching donations
Volunteer hours
Parental leave

Job summary

Elastic is seeking a Senior Software Engineer to join the Elasticsearch Performance team. You will contribute to performance engineering initiatives, improving optimization and predictability across distributed systems, collaborating with area-specific teams to enhance our software.

You will profile bottlenecks, implement AI-assisted optimization harnesses, and provide technical guidance to engineers, while maintaining scalable, robust performance in diverse environments.

Qualifications

  • Deep knowledge of Java internals and JVM memory management.
  • Proven experience profiling and optimizing distributed systems.
  • Experience with benchmarking tools and performance regression detection.
  • Strong collaboration across teams and autonomous decision making.

Responsibilities

  • Contribute to core performance initiatives from development to production with impactful optimizations.
  • Implement performance models for distributed systems and ensure scalability.
  • Profile and analyze logging, metrics, vector search, and ES|QL to identify bottlenecks.
  • Lead automation efforts for profiling, hypothesis testing, and benchmarking.

Skills

Java performance
Concurrency and lock-free
Profiling distributed systems
AI tooling for optimization
Team collaboration
Autonomous work style

Tools

JMH
Rally
Benchmarking tools
C++/Rust (bonus)

Job description

Elastic is seeking a Senior Software Engineer to join the Elasticsearch Performance team. You will contribute to performance engineering initiatives, improving optimization and predictability across distributed systems, collaborating with area-specific teams to enhance our software.

You will profile bottlenecks, implement AI-assisted optimization harnesses, and provide technical guidance to engineers, while maintaining scalable, robust performance in diverse environments.

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