Security Platform Automation Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$308,500 / yr
Posted: 16 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k

This role $242k

$109k most similar roles pay here $330k

This role pays more than 94% of similar roles. Most pay $142,400–$209,725 — the shaded band above. At the midpoint, this role pays about $242k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Security Platform Automation Engineer

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The Security Platform Automation Engineer joins the Assurance Automation & Risk Management team within the ASE Security organization. This role focuses on building a next-generation AI-assisted Security Automation Platform to scale security reviews across thousands of backend services. You will design and operate agentic review systems, develop automation pipelines for threat modeling and triage, and integrate these workflows into existing security data systems like Bill of Materials and Risk Governance. Key responsibilities include managing prompt versioning as code, building quality feedback loops, and ensuring high-throughput reliability. The role requires proficiency in Python, Go, or Java, along with experience in LLM-based agent engineering, cloud resources like AWS, and security tools such as SAST/SCA scanners. You will solve critical challenges in software supply chain security, risk management, and automated vulnerability intelligence to protect global service infrastructure.

Skills

Python Go Java LLM Agentic Workflows AWS S3 EC2 Lambda Step Functions SAST SCA SBOM Threat Modeling Data Pipelines Security Engineering

What you'll do

Design system interfaces that make existing security systems consumable by AI agents.
Build and maintain automated pipelines for AI-assisted threat modeling and triage at scale.
Implement AI skills and routing criteria based on defined security standards and quality targets.
Integrate the automation pipeline with internal tools for findings, SBOMs, and risk management.
Create a feedback loop that uses reviewer validation to improve automation accuracy.
Manage prompt, skill, and model versioning as code with integrated evaluation gates.
Develop high-quality software featuring robust runbooks, testing, and observability.
Research and prototype new designs for internal security tools and infrastructure.

What we're looking for

BS or MS degree in Computer Science, Engineering, or a related field, or equivalent practical experience in Software or Security Engineering.
8+ years of experience building and operating production automation, data pipelines, or backend services.
1 year of experience building LLM- or agent-based systems that ran in production with a measured quality bar.
Proficiency in at least one of Python, Go, or Java.
Experience integrating third-party and first-party APIs, tooling, and services into reliable end-to-end workflows and AI agent workflows.
Working knowledge of application and cloud security concepts including threat modeling, vulnerabilities, and secure configuration.
Experience with Agent engineering, retrieval, grounding, citation, reasoning, and evaluation harness as CI (preferred).
Familiarity with AWS cloud resources, security tooling like SAST/SCA scanners, or supply-chain security (preferred).

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