Sr Tme for AI Security, API Security & Devops

F5 F5 · Enterprise · Field-TX, Field-AK, Field-AZ, Field-AR, Field-CA, Field-CO, Field-DE, Field-FL, Field-GA, Field-ID, Field-IL, Field-IN, Field-IA, Field-KS, Field-KY, Field-LA, Field-ME, Field-MD, Field-MA, Field-MI, Field-MN, Field-MS, Field-MO, Field-MT, Field-NE, Field-NV, Field-NH, Field-NJ, Field-NM, Field-NY, Field-NC, Field-ND, Field-OH, Field-NY Metro, Field-OK, Field-OR, Field-PA, Field-RI, Field-SC, Field-SD, Field-TN, Field-UT, Field-VT, Field-VA, Field-WV, Field-AL, Field-WI, Field-WY

Senior Technical Marketing Engineer focused on AI Security, API Security, and DevOps. This role involves building and breaking security solutions for LLMs and agentic AI models, automating security into CI/CD pipelines, and creating technical content to evangelize F5's security portfolio. Requires strong scripting, automation, cloud, and web application security experience, with a focus on emerging AI security threats.

What you'd actually do

  1. Build & Break (Solution Development): Design and maintain scalable cloud-native lab environments. You will develop "vulnerable applications" to simulate real-world attacks (such as prompt injection, model poisoning, and API breaches) and demonstrate how F5 mitigates them.
  2. Code & Automate (DevOps): Build Terraform/Ansible configurations, and create GitHub-automated CI/CD pipelines to showcase how security integrates seamlessly into the modern developer's workflow.
  3. Evangelize & Educate (Content Creation): Translate complex technical architectures into highly engaging content. You’ll author deep-dive blogs, produce high-quality demo videos, build real-time interactive dashboards, and deliver presentations at key industry events.
  4. Collaborate & Influence: Partner closely with Product Management, Threat Intelligence (F5 Labs), and Product Engineering to influence product roadmaps based on real-world feedback from the field and customer communities.

Skills

Required

  • 8+ years of experience in a highly technical, hands-on role (TME, Solutions Architect, DevOps Engineer, Security QA, or similar)
  • High proficiency in infrastructure-as-code tools (Terraform, Ansible)
  • Hands-on experience with public cloud platforms (AWS, Azure, or GCP)
  • Hands-on experience with container orchestration (Kubernetes / Docker)
  • Strong understanding of web application security fundamentals, including WAF, OWASP Top 10, and API Security
  • A proven track record of creating compelling technical content (e.g., blogs, YouTube/Vimeo demos, GitHub repositories, or technical documentation)

Nice to have

  • Prior experience with F5 technologies (BIG-IP, NGINX, or F5 Distributed Cloud)
  • Familiarity with emerging AI security frameworks, such as OWASP LLM Top 10 or MITRE ATLAS
  • Experience building or securing Generative AI/LLM-powered applications
  • An active presence in developer or open-source security communities

What the JD emphasized

  • AI Security
  • API Security
  • DevOps
  • securing LLMs
  • defending agentic AI models
  • automating application security (WAAP)
  • vulnerable applications
  • prompt injection
  • model poisoning
  • API breaches
  • OWASP LLM Top 10
  • MITRE ATLAS

Other signals

  • AI Security
  • LLM Security
  • Agentic AI Security
  • DevOps Automation
  • Technical Evangelism