Sr. Software Engineer, AI & Data Platforms (AiDP)

Apple • Sunnyvale, CA

19h

About The Position

AI & Data Platforms (AiDP) brings together data, application development, machine learning—including generative AI—data services, and customer success to help IS&T build solutions efficiently and streamline the adoption of generative AI across Apple. The team is seeking a hands-on Software Engineer to build and scale platform services that protect data privacy across a diverse database ecosystem spanning on-premise and multi-cloud environments.

The role designs and ships solutions that enforce privacy and security at scale. The engineer will work collaboratively while owning work end to end, enabling teams to discover, classify, and protect sensitive data wherever it resides. The position addresses challenges across databases, cloud providers, and security requirements, shaping how data is handled across the organization.

Requirements

• At least 5 years of software development experience.
• Experience building highly available software services or platform infrastructure.
• Experience designing, building, and maintaining API-driven microservices.
• Proficiency in Python; Java, Kotlin, C, or C++ are optional.
• Hands-on development experience with cloud platforms such as AWS and AliCloud, or similar platforms.
• Bachelor's or Master's degree in Computer Science, CyberSecurity, or related work experience.
• Ability to work independently and collaboratively across engineering, security, legal, and compliance teams, and communicate privacy requirements clearly to stakeholders at all levels of management.
• Hands-on experience with diverse SQL and NoSQL databases, such as PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, and DynamoDB.
• Understanding of how to apply privacy controls—including encryption, masking, access control, and auditing—across different data models and platforms.

Nice To Haves

• Experience applying generative AI and machine learning to privacy use cases, such as sensitive data discovery and classification, PII detection, anomaly detection, or user behavior analytics to identify unusual access to personal data.
• Solid understanding of privacy and data protection service-level objectives, such as data subject request turnaround, retention and deletion compliance, and classification coverage.

Responsibilities

• Design, develop, deploy, and maintain software that enforces privacy controls, including data discovery, classification, and access governance, across cloud and on-premise infrastructure.
• Research and evaluate privacy-enhancing technologies and data protection solutions, such as encryption, tokenization, masking, and anonymization, for hybrid multi-cloud environments.
• Work independently, with limited supervision, on critical, time-sensitive, and highly visible privacy initiatives.
• Partner with security, legal, compliance, and data platform owners through regular meetings to ensure privacy and security standards are consistently implemented across data store technologies.
• Use privacy defects and incidents as opportunities to improve, and build processes and tooling—such as automated detection, root-cause analysis, and preventive controls—to reduce recurrence.
• Apply automation and visualizations to measure, report, and enforce service-level objectives for privacy and data protection.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior