Senior Application Platform Engineer

Summary

Apple is where outstanding talents come together to do the best work of their lives. Together, we build products and experiences that were once unimaginable—and are now indispensable. If you’re driven by the chance to create a meaningful impact and thrive in one of the world’s most diverse and inclusive work environments, a career at Apple could be your dream opportunity. At Apple, we value hard work, a collaborative environment, and the creativity that arises when talented individuals from varied backgrounds approach challenges with different perspectives. Our teams don’t just build products—we redefine industries, turning groundbreaking ideas into reality. It’s this diversity of people and thought that fuels the innovation behind everything we do, from cutting-edge technology to our industry-leading environmental initiatives. Join us, and help make the world better than we found it. At Apple, new ideas quickly evolve into extraordinary products, services, and customer experiences. Bring your passion and dedication, and there’s no limit to what you can achieve. This is a high-visibility, critical role within Apple China, with significant influence over the Sales Team. The successful candidate will be responsible for interpreting quantitative data, developing statistical models, and forecasting demand to support sales analytics and strategic decision-making.

Description

We are looking for a proactive self-starter who takes initiative, learns fast, and works well across teams. You'll join our growing team where no two days are the same - solving tough technical challenges and business problems in a fast-paced environment.

Minimum Qualifications

5+ years of professional experience in cloud engineering. Deep understanding of cloud-native application design and operations on platforms like AWS or Ali Cloud. Proficient in infrastructure as code and CI/CD pipelines using tools like Terraform, GitHub Actions, Jenkins, or similar. Strong experience with containerization (Docker) and orchestration platforms (Kubernetes). A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field—or equivalent practical experience.

Preferred Qualifications

Proven knowledge of security principles, including authentication, authorization, and secrets management in cloud environments. Skilled in monitoring and observability using tools like Kibana, CloudWatch, Dynatrace, or Splunk. Proficiency in at least one programming language such as Java, JavaScript, Node.js, Python, or Go. Expertise in data storage, big data pipelines, dimensional modeling, and data warehousing. Demonstrated ability to work independently in fast paced production environments and drive multi-functional initiatives. Prior experience with infrastructure for training and deploying ML models and LLMs is a bonus.