DevOps Engineer

Apple's Applied Machine Learning team is seeking a talented Senior DevOps Engineer to join their dynamic environment. This role sits at the intersection of infrastructure and machine learning, working on high-impact projects that serve various Apple lines of business. The team manages Apple-scale data streams and builds world-class data platforms across cloud environments.

As a DevOps Engineer, you'll be responsible for automating infrastructure processes, maintaining system stability, and providing critical support for production environments. You'll work with cutting-edge open source technologies and contribute to pushing the technological envelope forward. The role requires expertise in container orchestration, infrastructure as code, and modern DevOps practices.

The position offers the opportunity to work with an exceptional group of software engineers, data scientists, and SRE/DevOps professionals. You'll be instrumental in building and maintaining the infrastructure that powers Apple's machine learning initiatives. The team values cultural diversity and is committed to creating an inclusive environment that reflects their global customer base.

Key aspects of the role include implementing GitOps practices, managing Kubernetes applications, ensuring system reliability, and collaborating with cross-functional teams. You'll be expected to handle multiple priorities in a fast-paced environment while maintaining high standards of operational excellence. The role also involves staying current with emerging technologies and contributing to the team's continuous improvement initiatives.

This is an ideal opportunity for a seasoned DevOps professional who is passionate about infrastructure automation, enjoys solving complex problems at scale, and wants to make a significant impact at one of the world's leading technology companies. The role offers exposure to cutting-edge technologies and the chance to work on systems that affect millions of users worldwide.