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7 дней назад

Principal Engineer (AI Security)

225 600 - 338 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Engineer (AI Security): Building and scaling F5’s AI Security and Delivery Platform across multi-cloud and Kubernetes-native infrastructures with an accent on control-plane and data-plane design, high-throughput AI traffic delivery, and enterprise security. Focus on implementing semantic policy enforcement, rate limiting, observability, Kubernetes operators, CRDs, and high-performance proxy plugins using Go, C, or Rust.

Location: Hybrid in San Jose, United States of America

Annual base pay: $225,600–$338,400

Company

hirify.global develops cybersecurity, application delivery, and AI security solutions that help organizations create, secure, and run applications.

What you will do

  • Design, code, and deploy resilient, scalable features for enterprise AI control planes and data planes using Go, C, or Rust.
  • Implement security controls, semantic policy enforcement, rate limiting, load distribution, and observability for high-throughput AI workloads and LLM pipelines.
  • Build Kubernetes-native operators, custom resource definitions, and high-performance proxy plugins for multi-cloud and on-premises environments.
  • Own end-to-end component design, data plane efficiency, control plane integrations, and AI security and traffic delivery controls.
  • Mentor senior and staff engineers, conduct architectural reviews, and drive code quality and engineering best practices.
  • Collaborate with product management and platform architects to refine specifications and deliver platform releases.

Requirements

  • 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.
  • Experience with Kubernetes internals, container orchestration, and multi-cloud networking primitives across AWS, Azure, GCP, and private cloud.
  • Understanding of the AI Software Development Lifecycle, modern AI application platforms, traffic optimization, and enterprise security protocols.
  • Ability to drive complex technical projects from concept through production deployment.

Culture & Benefits

  • Hybrid work environment in San Jose.
  • Inclusive workplace focused on helping individuals thrive.
  • Benefits are available, with additional incentive compensation, bonuses, and restricted stock units potentially offered.

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