Security Engineer - Apple Pay

Apple Apple · Big Tech · Austin, TX +3 · Software and Services

Security Engineer role focused on building AI agents and workflows to enhance security testing and practices within the SDLC for Apple Pay products. The role involves developing and refining AI tools, threat modeling, and hands-on security testing, with an emphasis on validating AI findings.

What you'd actually do

  1. Develop AI workflows to perform security review and security testing
  2. Develop Skills and Agents that instill security best practices into every phase of the SDLC: design, implementation, review, build/CI-CD, and post-launch
  3. Threat model development and secure design assessment of hardware and software
  4. Hands-on testing of hardware and software
  5. Validate and challenge AI findings, not just consume them

Skills

Required

  • Security engineering foundation
  • AI/agentic fluency
  • 5+ years of experience in a Security focused role

Nice to have

  • Superior problem solving and debugging skills
  • Understanding of the use of various cryptographic algorithms (RSA, AES, SHA, etc.)
  • Able to clearly communicate across many teams
  • Ability to propose new designs and architectural improvements
  • Experience either shipping software or integrating security into every stage of the software lifecycle.

What the JD emphasized

  • You use AI to move faster and improve the tooling as you go: not shipping product features but building the Skills, Agents, and workflows that make our security testing sharper.
  • You can disagree with the AI, prove it wrong, and make it better instead of rubber-stamping its results.
  • AI/agentic fluency: You have hands-on experience using agentic/LLM-based coding tools.
  • You’re able to build and refine Skills, Agents and AI workflows, not just operate them.
  • You’re able to independently verify or refute a finding rather than accept it at face value.

Other signals

  • Develop AI workflows to perform security review and security testing
  • Develop Skills and Agents that instill security best practices into every phase of the SDLC
  • AI/agentic fluency: You have hands-on experience using agentic/LLM-based coding tools. You’re able to build and refine Skills, Agents and AI workflows, not just operate them.