As an engineer in the Special Projects Group, you will be part of a team building infrastructure and tools for exciting new technologies that will shape the future. We build product tools that enable control and testing of new hardware, tools for enhancing developer workflows, and automation pipelines for product development. You will work in a startup-like environment where products are still being defined and developed, giving you the chance to influence some of the core tools used by the project. You will be part of every stage of development from concept to deployment.
We are looking for a motivated individual who is passionate about joining Apple's engineering team in Sunnyvale, California as a Senior Dev Ops Engineer. We are focused on autonomous technology that spans across numerous different technology disciplines. Do you enjoy making foundational changes that increase speed, reliability and robustness of systems that benefit large sections of people across an organization? Do you see envision and formulate solutions to infrastructure problems while thinking like a software developer? If so, you would fit right into our team and we can't wait for you to join us and help us grow.
Our team provides cloud-based infrastructure and services that enable high performance computing, big data processing, machine learning, and other AI applications in the cloud. This is an exciting opportunity to lay the foundations for the infrastructure, tools, and services powering our next generation of cloud compute. The team works on fresh, dynamic challenges every day and prides itself on delivering robust, well engineered solutions that tackle these challenges. You will need to be a self-starter, ready to dig in and own projects, collaborate cross-functionally, and deliver quality results. The work is challenging, but you can count on a deep level of support from your team. In this role, you will:
Lead and architect compute infrastructure to enable high performance compute and AI applications in the cloud
Lead and architect our growing AWS footprint
Build solutions that allow our R&D teams, engineers, and data scientists to work at scale without fighting the infrastructure
Provide guidance and leadership on our use of internal and external cloud infrastructure
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