Principal Performance Engineer for Distributed Systems

Referral Board

España

Presencial

EUR 140.000 - 180.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Elastic is seeking a Principal Software Engineer to lead performance tuning for Elasticsearch in Spain. You will own performance initiatives from architecture to production, building models and strategies to keep Elasticsearch fast, scalable, and predictable across diverse environments.

You'll profile complex distributed systems, leverage AI-assisted tooling for optimization, and mentor peers to drive a culture of high-performance engineering.

Formación

  • Deep knowledge of Java internals and JVM memory management.
  • Experience profiling and optimizing distributed systems and benchmarking.
  • Strong understanding of distributed systems architecture and scaling challenges.

Responsabilidades

  • Own core performance engineering initiatives from architecture to production.
  • Develop performance models and methodologies for distributed systems.
  • Drive optimization strategies for performance, predictability, and scale.
  • Profile and analyze system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL.
  • Ensure robust performance benchmarks and regression detection for stateful and serverless architectures.
  • Collaborate to embed performance-first thinking into new features.
  • Drive automation by building AI-assisted optimization tools for profiling and benchmarking.
  • Mentor engineers and foster performance-aware development.

Conocimientos

Java internals
JVM memory management
Concurrency
Thread-safety
Profiling distributed systems
Benchmarking tools
Distributed systems architecture
AI-assisted optimization
Cross-team collaboration
Autonomy

Herramientas

Flamegraphs
JMH
Rally

Descripción del empleo

Elastic is seeking a Principal Software Engineer to lead performance tuning for Elasticsearch in Spain. You will own performance initiatives from architecture to production, building models and strategies to keep Elasticsearch fast, scalable, and predictable across diverse environments.

You'll profile complex distributed systems, leverage AI-assisted tooling for optimization, and mentor peers to drive a culture of high-performance engineering.

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