Software Engineer (security) - AI & Data Platforms (aidp)

Apple Apple · Big Tech · Austin, TX · Corporate Functions

Software Engineer focused on building and managing internal security services that leverage AI technologies to identify and remediate security risks within the software development lifecycle. The role involves assessing AI-specific security risks and implementing controls, with a preference for experience in LLM-powered solutions.

What you'd actually do

  1. engineering, deploying and managing Apple’s internal security services that use the latest AI technologies and modern security tools and techniques to effectively identify and remediate security risks in the software development lifecycle
  2. assess AI-related security risks and implement detective and preventive controls to address these emerging risks
  3. improve developer experience through innovative solutions that accelerate both detection and remediation across the SDLC
  4. research, learn and apply new technologies and techniques to improve effectiveness of our security services

Skills

Required

  • 4+ years of industry experience in software engineering and/or security engineering
  • Proficient in engineering of highly scalable microservices using Python or Java, RESTful APIs, and NoSQL databases deployed on public cloud
  • Expertise in assessing security risks in modern application tech stacks and defining and implementing detective and preventive security controls
  • Bachelors/ Masters in Computer Science, Cybersecurity or related engineering field

Nice to have

  • Experience with engineering LLM-powered solutions, MCP servers, and Agents
  • Knowledge of emerging security risks with AI technologies and mitigating controls
  • Ability to work independently and track record of leadership, innovation, responsibility, and creative thinking
  • Experience developing detailed solution design and leading development efforts with junior engineers and contractors
  • Proficient in writing detailed solution design specifications, sequence diagrams, test plans, workflows, etc.
  • Experience using and customizing open source projects
  • Knowledge of DevOps and CI/CD frameworks
  • Excellent verbal communications skills and ability to work effectively with multi-functional technical and business teams

What the JD emphasized

  • security risks in the software development lifecycle
  • AI-related security risks
  • detective and preventive controls

Other signals

  • AI security services
  • identify and remediate security risks
  • assess AI-related security risks
  • implement detective and preventive controls