Lead deep performance investigations across distributed services and multi-region systems
Analyze latency, throughput, saturation, and failure modes across data and control planes
Partner with platform teams on runtime, networking, and container performance
Define performance standards, benchmarks, and system-level expectations
Mentor engineers and influence technical decisions across multiple teams
Design AI-assisted performance workflows that scale across teams and systems

🎯 Requirements

12+ years of engineering experience with distributed systems
Strong understanding of networking, concurrency, caching, replication, and scaling patterns
Proven track record of improving performance in large-scale production environments
Comfort influencing without authority and setting technical direction

🎁 Benefits

Ownership culture and growth mindset
Transparent communication and bias toward action
Collaborative, high-performing culture
Equal opportunity workplace

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