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

Apple's AI & Data Platform (AiDP) Data Services organization is seeking a motivated Software Engineer, Data Analytics focused on providing data analytics and search services. Engineers on this team build data processing platforms and develop required tooling for 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 Analytics team builds data analytics and search capabilities — provisioning, backup/restore, observability, and self-service — spanning OpenSearch, ClickHouse, SingleStore, Couchbase, Apache Doris, Apache Milvus, etc. This role involves supporting data processing and migration efforts across hybrid-cloud environments (On-Prem ↔ AWS ↔ AliCloud) following established Runbooks and adhering to local data residency and regulatory requirements (e.g., China's Cybersecurity Law and PIPL). This role requires good communication and collaboration with infrastructure teams and colleagues across a distributed team.

Responsibilities
Build and run data processing platforms with required monitoring, alerting, and incident management, achieving growing independence

Build working knowledge of data analytics and search concepts (distributed data processing, fast querying, consistency models) across OpenSearch, ClickHouse, Couchbase, Doris, Milvus, etc.

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

Assist with service management across bare metal, virtualized (EC2, AliCloud 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 experience in data analytics and/or data search space

Experience and knowledge of Python programming language

Production experience on data analytics database such as Clickhouse etc.

Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba Cloud and/or AWS)

Bachelor's or Master's degree in Computer Science or a related work experience

Preferred qualifications
Some operational experience with stateful services on Kubernetes

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

Contributions to open-source database projects or internal data-platform tooling