As a Principal Software Engineer within the Apple Data Platform organization, you will serve as the senior-most individual contributor responsible for establishing and evolving the Apple Data Platform in China. This is a unique greenfield opportunity to build a new regional engineering capability while working on one of Apple's most strategic infrastructure initiatives.
You will own the design, implementation, deployment, and operation of core platform services that enable data, analytics, and AI workloads across China. Working closely with engineering teams across China and the United States, you will deliver global platform capabilities while ensuring the platform meets regional operational, security, and regulatory requirements.
As a principal technical leader, you will set architectural direction, drive engineering excellence, define technical best practices, and build a highly reliable, scalable, and secure platform that serves customers across the region.
Minimum Qualifications
15+ years of experience designing, building, and operating large-scale distributed systems, cloud infrastructure, or platform technologies in production environments.
Track record of owning architecture and delivering complex infrastructure or platform initiatives across multiple engineering organizations.
Expert-level software engineering experience in Java, Go, Scala, Python, C++, or similar programming languages.
Deep expertise in distributed systems, cloud-native architectures, Kubernetes, container orchestration, networking, and modern infrastructure platforms.
Proven history of building and operating highly available, scalable, secure, and observable production systems at scale.
Experience designing automation for deployment, infrastructure management, and operational excellence.
Exceptional debugging and problem-solving skills in complex production environments.
Experience setting technical direction across software engineering, infrastructure, SRE, security, and product organizations.
Excellent communication skills and a record of influencing technical direction across globally distributed engineering organizations.
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.
Preferred Qualifications
Experience architecting large-scale data, analytics, AI, or machine learning platforms.
Experience with technologies such as Kubernetes, Spark, Ray, Kafka, Trino, Iceberg, Airflow, or other modern data platform technologies.
Experience deploying and operating platforms across public cloud providers such as Alibaba Cloud, AWS, or GCP, as well as private cloud or on-premises environments.
Experience founding greenfield infrastructure or platform initiatives.
Experience operating services in regulated environments with security, compliance, and data residency requirements.
Experience building developer platforms, platform automation, and self-service infrastructure.
Passion for building world-class infrastructure and helping establish a new engineering organization from the ground up.