Principal Software Engineer - Performance Tuning - Elasticsearch @Elastic

Overview

The role involves joining the Elasticsearch Performance team as a Principal Software Engineer, focusing on architectural and code-level performance engineering initiatives for Elasticsearch, which powers search, observability, and AI retrieval for large organizations.

Key Responsibilities

• Own core performance engineering initiatives from architecture to production, focusing on high-impact optimizations.
• Develop foundational performance models and methodologies for complex, distributed systems.
• Drive optimization strategies to maintain Elasticsearch's performance, predictability, and scalability.
• Profile and analyze system behavior to identify bottlenecks.
• Ensure robust performance benchmarks and regression detection for various architectures.
• Collaborate to embed performance-first thinking into new features.
• Design and build AI-assisted optimization tools.
• Mentor and coach other engineers, fostering a culture of technical excellence.

Requirements

• Deep knowledge of Java internals and JVM memory management.
• Experience profiling and optimizing distributed systems and using benchmarking tools.
• Comprehension of distributed systems architecture.
• Experience with AI or advanced tooling for optimization and debugging.
• Ability to collaborate across functions and projects effectively.
• Autonomous work capability with transparent communication.

Benefits

• Competitive pay based on individual work.
• Health coverage for employees and families in many locations.
• Flexible locations and schedules for many roles.
• Generous vacation days annually.
• Donation matching up to $2000 and paid volunteer time.
• Minimum 16 weeks of parental leave.

Location

Remote work based in Spain.

How to Apply

Interested candidates can apply through the company’s career page.

Deadline

No specific deadline mentioned.