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Staff Security Engineer

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Staff Security Engineer in USA new

  • Seattle, WA

Responsibilities

  • Design and develop AI-powered security assurance capabilities for complex systems and architectures.
  • Perform and scale security risk assessments, threat modeling, security architecture, and security design reviews.
  • Incorporate security requirements, threat models, abuse cases, trust boundaries, controls, and verification criteria into spec-driven development.
  • Evaluate AI system reliability, correctness, failure modes, and effectiveness against defined objectives.
  • Integrate AI agents with engineering tools, source code, repositories, architecture, documentation, specifications, requirements systems, and security assessment workflows.
  • Establish traceability between specifications, security requirements, implementation artifacts, tests, and assurance evidence.
  • Partner with software engineers, architects, product teams, security engineering, privacy, offensive security, and site reliability engineering teams.

Requirements

  • 10 or more years of hands-on experience in security assurance, including security architecture, threat modeling, security design reviews, and security risk assessment.
  • Proficiency in Python or a comparable programming language, API integration, and production software development.
  • Experience evaluating AI system performance, including reliability, correctness, failure modes, and effectiveness against defined objectives.
  • Experience with LLM orchestration, agent tool use, retrieval systems, context engineering, and grounding AI outputs in trusted organizational data.
  • Experience incorporating security into spec-driven development, requirements engineering, secure design practices, or comparable structured software development methodologies.
  • Preferred: bachelor's degree or equivalent experience.
  • Preferred: experience applying generative AI or agentic automation to security assurance, threat modeling, architecture, reviews, vulnerability analysis, or spec-driven development.
  • Preferred: experience building enterprise knowledge systems using RAG, knowledge graphs, persistent memory, or hybrid retrieval techniques.

Apple

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