Senior Director, Cloud Engineering - AI Data Plane Leader

F5; San Jose (CA); On-site; USD 319,000 - 478,000; Full time

Job summary

F5 is seeking a Senior Director of Engineering in San Jose, CA to lead data path engineering for the Distributed Cloud and AI-driven traffic. You will guide multiple cloud services, shape strategy, and drive scalable, high‑performance systems across distributed teams.

This role demands a proven track record in scaling engineering organizations, reducing bottlenecks through automation, and aligning engineering with product goals.

Qualifications

• 10+ years of leadership experience in scaling engineering teams.
• Hands-on experience operating and scaling cloud services at scale.
• Experience with AWS, Azure, or GCP and cloud data planes.
• Ability to translate vision into executable strategy and roadmaps.
• Strong, data-driven approach to decisions and KPIs.

Responsibilities

• Champion vision and direction for cloud data plane excellence.
• Run and scale multiple cloud services with reliability and security.
• Define strategic framework and drive engineering growth.
• Identify bottlenecks and introduce automation across distributed teams.
• Develop roadmaps for scaling processes, infrastructure, and teams.
• Collaborate cross-functionally with product, design, and engineering leadership.
• Oversee investments in tools, CI/CD, and collaboration platforms.
• Set and monitor KPIs with data-driven improvements.
• Nurture leadership and build a high-performing engineering culture.
• Plan resources and manage budgets to meet goals.

Skills

Leadership

Cloud service operations

Cloud architecture

AI traffic workflows

Strategic vision

Data-driven decisions

Cross-functional collaboration

People leadership

Job description

F5 is seeking a Senior Director of Engineering in San Jose, CA to lead data path engineering for the Distributed Cloud and AI-driven traffic. You will guide multiple cloud services, shape strategy, and drive scalable, high‑performance systems across distributed teams.

This role demands a proven track record in scaling engineering organizations, reducing bottlenecks through automation, and aligning engineering with product goals.