Job Description

Every millisecond and every bit per second matter when you're defending the world's largest networks. We're looking for a passionate Performance Engineering Manager to lead our performance lab — an effort that spans both development and testing. This isn't only about finding where the product breaks. It's about making our products faster, leveraging and improving our AI infrastructure, and making both our products and our testing dramatically more efficient and robust.

You'll lead a team of QA and R&D engineers who design and build the tests, run them, dig into the numbers and the product, and turn what they find into concrete optimization work with development. If you love pushing the limits as much as you love finding the bug that's costing you those limits, this is your role.

• 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