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Senior Principal Engineer
F5. Define the overall architectural vision and long-term technical roadmap for F5’s AI security, application delivery, intelligent traffic routing, and control plane technologies .
Posted 10/21/2026full-timeSan Jose • California • United StatesSenior💰 $259,200 - $388,800 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architectural leadership for AI security and application delivery, with a strong focus on multi-cloud and hybrid-cloud systems. Proficient in integrating AI software development lifecycles and designing high-performance distributed control plane systems.
Highest-signal resume keywords
Architectural LeadershipAdvanced Proficiency In GoDeep Experience In Distributed Control Plane DesignKubernetes Architecture ExpertiseAI Software Development Lifecycle Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringArchitectural DesignHigh-Throughput Data Plane SystemsLow-Latency SystemsAPI Management SystemsApplication Delivery ControllersPacket ProcessingCustom ControllersTraffic Delivery DynamicsEnterprise AI Security Frameworks
Soft Skills
CollaborationLeadershipCommunication
Tools & Technologies
KubernetesAWSAzureGCPService MeshesIngress ControllersGateway ControllersCloud-Native Network Topologies
Industry Keywords
Enterprise NetworkingCloud SecurityApplication Delivery PlatformsMulti-Cloud InfrastructureAI Application Workloads
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformKubernetesRustGo
About the role
Key responsibilities & impact- Define the overall architectural vision and long-term technical roadmap for F5’s AI security, application delivery, intelligent traffic routing, and control plane technologies
- Architect and lead implementation of high-throughput, low-latency data plane and distributed control plane systems
- Integrate platform infrastructure with the modern AI software development lifecycle, including runtime protection, prompt/response scanning, model serving delivery, vector stores, and orchestration frameworks
- Lead multi-cloud and hybrid-cloud architecture designs using Kubernetes CRDs, ingress/gateway controllers, service meshes, and cloud-native network topologies
- Partner with executive leadership, product management, and engineering teams to translate business requirements into technical specifications and execution plans
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience
- 15+ years of software engineering experience
- Proven track record of architectural leadership in enterprise networking, cloud security, API/gateway infrastructure, or application delivery platforms
- Advanced proficiency in Go, C, and Rust
- Deep experience in distributed control plane design, high-performance data plane packet processing, application delivery controllers (ADCs), reverse proxies, and API management systems
- Deep knowledge of Kubernetes architecture, custom controllers, container networking, and multi-cloud infrastructure (AWS, Azure, GCP, private cloud)
- Solid understanding of the AI Software Development Lifecycle, AI application workloads, enterprise AI security frameworks, and traffic delivery dynamics
Benefits
Comp & perks- Incentive compensation
- Bonus
- Restricted stock units
- Benefits package
- Reasonable accommodations for candidates