below marketmost similar roles pay hereabove market
This role pays more than
98%
of similar roles. Most pay
$174,600–$225,500
— the blue band above.
At the midpoint, this role pays about
$324k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About F5 Inc
F5, Inc. is an American technology company specializing in application security, multi-cloud management, online fraud prevention, application delivery networking, application availability and performance, and network security, access, and authorization.
F5 Inc currently has
44 open roles
on FindRole.
Listed pay typically runs
$179,500–$269,300
across 31 roles with salary data.
As a Senior Principal Engineer at F5, you will serve as a primary technical authority driving the architecture, strategy, and execution of the next-generation AI Security and Delivery Platform. You will design high-performance, resilient, and secure control plane and data plane architectures to safeguard and route critical traffic across enterprise AI workloads in hybrid public and private cloud environments. Your daily work involves architecting high-throughput systems using Go, C, and Rust while integrating platform infrastructure with the AI software development lifecycle, including prompt scanning and model serving. You will utilize Kubernetes CRDs, ingress controllers, service meshes, and cloud-native network topologies across AWS, Azure, and GCP. This role solves complex problems in intelligent traffic routing, application delivery, and enterprise AI security frameworks.
What does a Engineer earn in California?
Median $199850 from 108 postings across 31 companies.
Define the architectural vision and long-term technical roadmap for AI security and application delivery technologies.
Architect and lead the implementation of high-throughput, low-latency data plane and distributed control plane systems using Go, C, and Rust.
Integrate platform infrastructure with the AI software development lifecycle, including runtime protection and model serving delivery.
Design multi-cloud and hybrid-cloud architectures using Kubernetes CRDs, ingress controllers, and service meshes.
Translate complex business requirements into robust technical specifications and execution plans for engineering teams.
Develop secure architectures to route and optimize critical traffic across enterprise AI workloads and modern infrastructure.
What we're looking for
Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience.
15+ years of software engineering experience with a 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 for high-performance system-level and network software development.
Deep experience in distributed control plane design, high-performance data plane packet processing, application delivery controllers, reverse proxies, and API management systems.
Deep knowledge of Kubernetes architecture, custom controllers, container networking, and multi-cloud infrastructure across AWS, Azure, GCP, and private cloud.
Solid understanding of the AI Software Development Lifecycle, AI application workloads, enterprise AI security frameworks, and traffic delivery dynamics.