About The Position

At Apple, great ideas have a way of becoming extraordinary products, services, and customer experiences. Are you passionate building best-in-class cybersecurity services that empower engineering teams? Do you want to work in a highly energized and innovative environment where you work at the cutting edge of AI and Cybersecurity? If so, AI & Data Platforms org is looking for engineers like you! You will be part of Apple’s security engineering team in a unique organization enabling secure developer experience and AI platforms. You will be joining a team of highly-skilled and passionate security engineers working on this groundbreaking and constantly evolving space.

Requirements

  • 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 Haves

  • 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

Responsibilities

  • 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.
  • Assess AI-related security risks and implement detective and preventive controls to address these emerging risks.
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