below marketmost similar roles pay hereabove market
This role pays more than
87%
of similar roles. Most pay
$174,600–$228,062
— the blue band above.
At the midpoint, this role pays about
$282k
versus about
$201k
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.
The Principal Engineer will provide hands-on technical leadership for the AI Security and Delivery Platform team. This role involves owning end-to-end component design, data plane efficiency, and control plane integrations across multi-cloud and Kubernetes-native infrastructures. You will design, code, and deploy resilient features, including advanced security controls, semantic policy enforcement, rate limiting, and load distribution for high-throughput AI workloads and LLM pipelines. Key responsibilities include building Kubernetes-native operators, custom resource definitions, and high-performance proxy plugins. You will utilize Go, C, and Rust to solve complex networking and cloud security problems. The position requires mentoring senior engineers, conducting architectural reviews, and managing technical projects from concept to production. You will work within the domain of AI software development lifecycles, traffic optimization, and enterprise security protocols.
What does a Engineer earn in California?
Median $199500 from 103 postings across 31 companies.
Design, code, and deploy resilient features for enterprise AI control planes and data planes using Go, C, and Rust.
Implement advanced security controls, semantic policy enforcement, and rate limiting for high-throughput AI workloads.
Build Kubernetes-native operators, custom resource definitions, and high-performance proxy plugins for multi-cloud environments.
Develop observability mechanisms and load distribution controls tailored for LLM pipelines.
Mentor senior and staff engineers while conducting architectural reviews and enforcing engineering best practices.
Drive complex technical projects from initial concept through to production deployment.
Refine technical specifications with product management to deliver robust platform releases.
What we're looking for
Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience.
12+ years of software engineering experience building high-performance networking, API gateway, application delivery, distributed control plane, or cloud security infrastructure software.
Strong hands-on programming skills in Go, C, or Rust.
Demonstrated experience with Kubernetes internals, container orchestration, and multi-cloud networking primitives (AWS, Azure, GCP, Private Cloud).
Solid understanding of the AI Software Development Lifecycle, modern AI application platforms, traffic optimization, and enterprise security protocols.
Proven ability to drive complex technical projects from concept to production deployment.