Software Engineer (Cloud Security), AI & Data Platforms (AiDP)

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

We are seeking an extraordinary Cloud Security Engineer who is passionate about data and security and can thrive in a fast-paced environment where both individual drive and team collaboration are the keys to success. This is a technical hands-on role that is focused on building solutions for security for on-premise and multi-cloud environments.

Responsibilities

• Design cloud security architectures to meet global regulatory requirements e.g GDPR/PIPL
• Research new technologies and solutions to secure data in an hybrid multi-cloud environment
• Design, develop, deploy, and maintain software for cloud infrastructure
• Work independently with limited supervision for critical, time sensitive and high visible projects
• Conduct regular meetings with the cross functional teams to ensure Security standards are adequately implemented across all data store technologies
• Recognize that defects and incidents are a precious opportunity to improve, and put processes and tools in place to drive those improvements

Minimum Qualifications

• 3+ years experience with focus on security
• 2+ years hands-on experience with Cloud Technologies, AliCloud experience preferred
• Expertise in building applications using Java or Python
• Foundational knowledge of data pipelines/ETL
• Experience in identity and access management, encryption, and analytic domains of security
• Bachelor's or Master's degree in Computer Science, CyberSecurity or a related work experience

Preferred Qualifications

• Experience with GenAI, machine learning in anomaly detection and UBA space
• Good understanding for service-level objectives and ability to measure, report and enforce them using automation and visualizations
• Self starter with excellent interpersonal skills, and capable of working with cross functional teams and varying levels of management