Staff Product Security Engineer, Offensive SecurityActive

The opportunity

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.

What you'll do

  • Application & Network Security: Solid understanding of application security principles, common vulnerabilities, backend/middleware testing, and network penetration testing methodologies.

  • AI/LLM Security: Experience assessing the security of systems that integrate large language models and AI-driven automation, including supply-chain risks in model pipelines. Ability to develop novel attack techniques against AI-augmented products and evaluate guardrail effectiveness.

  • Automation & Offensive Tooling: A track record of building maintainable, repeatable Offensive Security tools that accelerate security assessments, automate vulnerability discovery, and integrate with existing workflows.

  • Operating Systems: Thorough familiarity with Linux and macOS operating systems, including their security features, command-line tools, and common attack surfaces.

  • Cloud Security: Understanding of cloud security architecture and common attack vectors. Experience with GCP is required, and depth in AWS or Azure is also welcomed.

  • Infrastructure & DevOps: Experience with infrastructure tooling such as Kubernetes, Terraform, Chef, and ArgoCD, and an understanding of how they shape the operational environment.

What they're looking for

  • Communication: Excellent written and verbal communication skills with the ability to clearly and concisely articulate vulnerabilities and remediation strategies to technical and non-technical audiences.
  • Apply an attacker mindset to identify, plan, and exploit complex security: gaps across app, cloud, and network layers.
  • Conduct targeted security assessments and pentests; deliver actionable: findings, detailed exploit recreation, and architectural remediation guidance.
  • Assess the security of AI/LLM-integrated features and agent-based workflows,: develop novel attack techniques, and evaluate defensive controls.