Software Engineer (Transactional), AI & Data Platforms (AiDP)

Apple • Sunnyvale, CA

1d

About The Position

Apple's AI & Data Platform (AiDP) Data Services organization is seeking a motivated database systems engineer to join our Data Services SRE team, focused on our transactional database fleet. Engineers on this team develop and contribute to platform tooling that manages relational and distributed-SQL/document engines powering some of Apple's most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users. 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.

Requirements

• 3 years of experience in a Site Reliability Engineering / Infrastructure focused role
• Hands-on production experience with at least one of Oracle, PostgreSQL, MongoDB, including exposure to On Call and Incident Management
• Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (third party cloud)
• Good understanding in one or more of the following programming languages: Python or Go
• BS or MS in Computer Science / related fields or equivalent work experience

Nice To Haves

• Some operational experience with stateful services on Kubernetes
• Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits
• Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling
• Experience assisting with cross-cloud / hybrid-cloud data migrations for transactional systems
• Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for OLTP/distributed-SQL engines

Responsibilities

• Develop and contribute to platform tooling that manages relational and distributed-SQL/document engines.
• Support data migration efforts across hybrid-cloud environments with minimal downtime and guaranteed data integrity.
• Adhere to established runbooks and local data residency and regulatory requirements.
• Communicate and collaborate with Core Storage teams and colleagues across a distributed team.

What This Job Offers

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