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

Weekly Hours: 40

Role Number: 200694233-3956

Summary

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.

Description

We’re looking for 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. You’ll design and ship the solutions that enforce privacy and security at scale. You’ll work closely with a collaborative team, and you’ll also own your work end to end. Your work will give teams a consistent way to discover, classify, and protect sensitive data wherever it lives, so privacy is built into the platform rather than added afterward. You’ll solve problems that cut across databases, cloud providers, and security requirements, and your solutions will directly shape how data is handled across the organization.

Minimum Qualifications

• 5+ years of software development experience

• Experience building highly available software services or platform infrastructure

• Experience designing, building, and maintaining API-driven microservices

• Proficient in Python optionally Java/Kotlin/C/C++ Hands-on development experience with cloud platforms - AWS, AliCloud (or similar)

• Bachelor's or Master's degree in Computer Science, CyberSecurity or related work experience

Preferred Qualifications

• Experience applying GenAI and machine learning to privacy use cases, such as sensitive data discovery and classification, PII detection, and anomaly detection or user behavior analytics (UBA) to spot unusual access to personal data

• Solid understanding of service-level objectives (SLOs) for privacy and data protection, such as data subject request turnaround, retention and deletion compliance, and classification coverage

• Ability to measure, report, and enforce them through automation and visualizations

• Self-starter with excellent interpersonal skills, able to work with cross-functional teams (engineering, security, legal, and compliance) and communicate privacy requirements clearly to stakeholders at all levels of management

• Hands-on experience with diverse SQL and NoSQL databases (e.g., PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, DynamoDB) and an understanding of how to apply privacy controls such as encryption, masking, access control, and auditing across different data models and platforms

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.