DevOps Engineer

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. The Product Marketing Customer Analytics team is seeking a DevOps engineer to build an analytics platform supporting customer analytics with advanced, scalable architecture. This role offers a green-field opportunity to define and build solutions for managing the overall tech stack.

As a DevOps Engineer, you'll be responsible for building and maintaining the team's analytics platform and tools. You'll provide strong DevOps leadership while developing self-service tools and automating processes to improve data engineering efficiency. The role involves implementing secure, robust deployment pipelines and managing cloud infrastructure for AI/ML workloads.

Key responsibilities include designing and maintaining scalable AWS architectures, deploying and optimizing AI/ML models, implementing CI/CD pipelines, and ensuring high availability of cloud systems. You'll work with cutting-edge technologies like Kubernetes, Docker, and various AWS services while collaborating with data scientists and engineers.

The ideal candidate brings 5+ years of DevOps experience, strong cloud platform expertise, and proficiency in Python and infrastructure automation tools. You should be passionate about building scalable systems, automating processes, and maintaining high-performance AI infrastructure. This role offers the opportunity to shape the future of customer analytics at one of the world's most innovative companies.

Join Apple's Product Marketing Customer Analytics team and help build the next generation of analytics infrastructure that powers customer insights and business intelligence at global scale.