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 support the adoption of generative AI across Apple. The Software Engineer will 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, enabling teams to discover, classify, and protect sensitive data wherever it resides. The engineer works collaboratively while owning work end to end, solving problems across databases, cloud providers, and security requirements. The solutions will shape how data is handled across the organization.

Requirements

  • 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++ experience is optional.
  • Hands-on development experience with cloud platforms such as AWS or AliCloud, or similar platforms.
  • A bachelor's or master's degree in Computer Science, CyberSecurity, or related work experience.

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.
  • Understanding of service-level objectives for privacy and data protection, including data subject request turnaround, retention and deletion compliance, and classification coverage.
  • Ability to measure, report, and enforce privacy and data protection objectives through automation and visualizations.
  • Self-starter with excellent interpersonal skills who can work with cross-functional engineering, security, legal, and compliance teams and communicate privacy requirements clearly to stakeholders at all management levels.
  • Hands-on experience with diverse SQL and NoSQL databases, such as PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, and DynamoDB, and understanding of privacy controls—including encryption, masking, access control, and auditing—across different data models and platforms.

Responsibilities

  • Build and scale platform services that protect data privacy across on-premise and multi-cloud database environments.
  • Design and ship solutions that enforce privacy and security at scale.
  • Enable teams to discover, classify, and protect sensitive data wherever it resides.
  • Own work end to end and collaborate with teams on problems spanning databases, cloud providers, and security requirements.
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