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

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.

Description
The AiDP Data Services SRE team builds engine-agnostic platform capabilities — provisioning, backup/restore, observability, and self-service — spanning Oracle, PostgreSQL, MongoDB, and CockroachDB. This role involves supporting data migration efforts across hybrid-cloud environments with minimal downtime and guaranteed data integrity, following established runbooks and adhering to local data residency and regulatory requirements. This role requires good communication and collaboration with Core Storage teams and colleagues across a distributed team.

Responsibilities
Apply core SRE concepts — monitoring, alerting, and incident management — with growing independence

Build working knowledge of transactional database concepts (consistency models, isolation levels, crash and recovery semantics) across Oracle, PostgreSQL and MongoDB

Support performance engineering efforts (profiling, tuning) across transactional engines, under guidance from senior team members

Assist with service management across bare metal, virtualized (EC2, Ali Cloud ECS), and containerized (K8s) style platforms

Execute and support data migration tasks across hybrid clouds, including validation and rollback support
Build understanding of operating systems and datacenter architecture concepts relevant to transactional workloads

Produce and maintain clear documentation — runbooks, architecture diagrams, and migration playbook updates
Support compliance with local data residency and regulatory requirements applicable to China-based infrastructure

Minimum qualifications
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

Preferred qualifications
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

Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits