Data Center Technician

About Deploy

Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.

Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.

Data Center Technician

We are looking for a highly motivated individual with hardware and facilities operations experience to be part of our growing team. Our Deploy machine learning systems run on our own data centers with hybrid emphases on high-performance GPU and AWS resources. The scope of your responsibility will include maintaining Deploy's existing data centers as well as building out future centers as we commercialize our machine learning models and continue to grow our enterprise SaaS offerings.

As a Data Center Technician at Deploy, you’ll act as an essential part of our team to install, configure, test, troubleshoot, repair and maintain the hardware and server software that allows all of our powerful AI solutions to run. You’ll help support the delivery of cutting edge technologies and act as the foundational engineer for our engineering teams by keeping infrastructure centers up and in optimal working. While this job will require manual movement and lifting of heavy equipment, you will be uniquely able to work closely with infrastructure that is at the cutting-edge of the growing AI industry. Our ideal candidate will thrive in unstructured environments and take pride in their infrastructure and its performance.