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Tapestry, the company behind Coach and Kate Spade New York, seeks an experienced infrastructure engineer to own the virtualization and end-user computing platform, spanning on-prem, cloud, and VDI.
You will design, implement, and operate the infrastructure, lead automation, and collaborate with internal teams and vendors to deliver scalable, secure solutions.
If you excel in scripting, cloud, and production systems, join our global team and help transform our technology backbone.
We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible.
At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach and Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized.
A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Visit Our People page to learn more about Tapestry's commitment to equity, inclusion, and diversity.
We're building the automation, orchestration, and monitoring layer that unifies our virtualization and end-user computing estate into a single, software-managed platform. You'll own the definition, design, implementation, and execution of the infrastructure that our business runs on - spanning on-premises virtualization, cloud, and virtual desktop infrastructure (VDI/HVD) across every stage from architecture through production operations.
You're a strong infrastructure engineer who thinks automation-first and can own the implementation details end to end. You're as comfortable designing the platform as you are troubleshooting it live, and you'd rather script a task once than do it by hand ten times. If virtualization and end-user computing is your jam and you've built and run systems in production, we want to talk.