Performance Engineering Manager

Key Responsibilities

• Lead and grow a team of QA and R&D engineers covering both performance development and performance testing

• Set the technical direction for performance testing methodology, standards, and best practices across the lab, spanning both hardware and software projects

• Leverage our existing AI infrastructure to make the lab more efficient — faster test cycles, faster analysis, faster answers, and ultimately faster, more optimized products

• Go beyond identifying regressions: analyze results and actively propose performance optimizations to development teams

• Increase visibility into performance results across R&D and product leadership, with clear, accessible reporting and dashboards

• Own the performance strategy for our product lines, from planning and development through execution and reporting

• Push traffic generator platforms to their limits to simulate real-world network and application traffic at scale

• Partner with R&D, product management, and architecture teams to define what "great performance" means for our customers

• Chase down performance bottlenecks at the system, kernel, and network level, and work directly with engineering to fix them

• Build and maintain lab infrastructure, tooling, and automation to keep the lab sharp and scalable

Qualifications

• A genuine passion for performance engineering and AI

• At least 3 years of proven experience leading a team of engineers, ideally spanning both QA and R&D

• Strong hands-on skills in C/C++, Linux, and networking — this is a must

• Proven hands-on experience with AI/ML tools — and the drive to push what's already in place further, not just maintain it

• Deep understanding of performance testing methodologies and industry testing standards

• Working knowledge of major traffic generator platforms (e.g., Spirent, Ixia/Keysight, or similar)

• Deep understanding of firewall or gateway architecture, packet processing, and network protocols (TCP/IP, routing, VPN, etc.)

• Experience turning performance data into actionable optimization recommendations for development teams

• Excellent communication skills and the ability to make performance results visible and understood across the organization