Senior Compliance Automation Engineer: AI-Powered Cloud Controls

Apple, Inc.; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple Inc. in Austin, Texas, is seeking a Senior Compliance Automation Engineer to build and grow a global cloud services governance, risk management, and compliance program.

This hands-on role focuses on automating core compliance processes, reducing audit risk, and building scalable solutions in partnership with ASE engineers. You will own end-to-end development, working across compliance inventory management, monitoring, alerting, remediation, and lifecycle management, while exploring AI

Qualifications

• 5+ years of experience developing software or automation.
• Strong software development skills in Python, Java, or Scala; Python is primary codebase.
• Ability to solicit requirements from end users and design software solutions.
• Track record of delivering automation solutions for security or compliance.
• Understanding of modern SDLC processes and CI/CD pipelines.

Responsibilities

• Engage compliance engineers to identify operational inefficiencies and propose automation solutions.
• Build, deliver, and maintain full‑stack compliance solutions related to inventory management, control monitoring, alerting and remediation, and lifecycle management.
• Aggressively explore and pursue opportunities to leverage AI to reduce manual effort and audit risk.
• Participate in ASE engineering design and governance discussions with potential compliance implications.

Skills

Python

Java

Scala

Automation

SDLC

Education

CS degree

Engineering degree helpful

Tools

CI/CD

Job description

Apple Inc. in Austin, Texas, is seeking a Senior Compliance Automation Engineer to build and grow a global cloud services governance, risk management, and compliance program.

This hands-on role focuses on automating core compliance processes, reducing audit risk, and building scalable solutions in partnership with ASE engineers. You will own end-to-end development, working across compliance inventory management, monitoring, alerting, remediation, and lifecycle management, while exploring AI