Data Center Technician
Data Center TechnicianInfrastructure & Cloud
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Quick Summary
Overview
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,
Technical Tools
Data Center TechnicianInfrastructure & Cloud
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.
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.
Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Deploy and we hope to meet you soon!
The current expected base salary for this position ranges from $70,000 to $120,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Location & Eligibility
Where is the job
San Francisco, United States
On-site at the office
Who can apply
US
About this job
- Pay per year
- $70,000–$120,000 a year
- 14% below the $110,000 median for Data Center Technician jobs on Jobera (213 salaries).
- Who can apply
- United States
- Posted
- 11 days ago
Listing Details
- Posted
- October 15, 2026
- First seen
- October 22, 2026
- Last seen
- October 27, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 47%
- Scored at
- October 27, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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