Security Platform Automation Engineer

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Security Platform Automation Engineer in USA new

Apple
Full time
Email

USA
10/15/2026
Report

Seattle, WA

Responsibilities

Lead the software architecture and agentic engineering of an AI-assisted Security Automation Platform.
Design and operate AI agentic review systems, workflows, skills, tool layers, and evaluation harnesses.
Build production automation for security reviews across thousands of backend services.
Integrate first-party and third-party APIs, tools, services, and security data systems into reliable end-to-end workflows.
Partner with security engineers and analysts to convert review standards into running software and validate output quality.
Develop bounded-autonomy workflows, human-in-the-loop feedback loops, and high-throughput tooling that reduces reviewer toil.

Requirements

At least 1 year of experience building LLM- or agent-based systems that ran in production with a measured quality bar.
8+ years of experience building and operating production automation, data pipelines, or backend services.
Highly proficient in at least one of Python, Go, or Java.
Experience integrating APIs, tooling, and services into reliable workflows and AI agent workflows.
Working knowledge of application and cloud security concepts, including threat modeling, vulnerabilities, and secure configuration.
BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience in Software or Security Engineering.
Experience with agent engineering concepts such as retrieval, grounding, citation, and reasoning.
Experience designing agentic workflows with bounded autonomy and evaluating output quality using precision, recall, and human-in-the-loop feedback.
Familiarity with AWS cloud resources such as S3, EC2, Lambda, and Step Functions.
Experience with SAST/SCA scanners, SBOM tooling, or vulnerability intelligence platforms.
Background in security review, threat modeling, or supply-chain security.
Experience delivering tooling used by non-engineer reviewers or contractors at scale.
Awareness of AI-specific threats in systems that ingest untrusted input.

Apple

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This i...

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