📋 Description

• Own performance engineering initiatives from architecture to production.
• Lead design, plan, and execution of major performance improvements.
• Develop foundational performance models for distributed systems.
• Drive optimization to keep Elasticsearch performant and scalable.
• Profile and analyze system behavior to identify bottlenecks.
• Ensure robust benchmarks and regression detection for serverless architectures.

🎯 Requirements

• Deep knowledge of Java internals and JVM memory management.
• Proven profiling/optimization in distributed systems (flamegraphs, JMH, Rally).
• Solid understanding of distributed architectures, partition tolerance, scaling.
• Experience using AI/advanced tooling to accelerate optimization.
• Ability to collaborate across teams and drive decisions asynchronously.
• Autonomous work style with clear, transparent communication.

🎁 Benefits

• Competitive pay based on work performed.
• Health coverage for you and family in many locations.
• Flexible locations and schedules for many roles.
• Generous vacation days each year.
• Donation matching up to 2000 (local currency equivalent).
• Volunteer hours and parental leave benefits.