Data Center Technician
- Salary
- $70,000 - $120,000
- Level
- Mid
- Work type
- On-site · San Francisco
Not stated in the posting: visa.
Open. First seen 22 October 2026.
About the role
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.
Responsibilities
- Install and upgrade data center equipment racks, including but not limited to switches, routers, monitoring systems and other large scale networking gear
- Monitor, audit, and perform ongoing diagnostics, maintenance, and/or decommissioning on existing and new data center servers and network infrastructure
- Maintain integration and deployment tooling
- Participate in on-call rotation and root cause analysis as needed to respond to server, network, and hardware issues as they arise
- Maintain an inventory and event logs of data center processes
- Complete assigned tickets to uphold tight SLA’s and respond to requests in a timely manner
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
- Associate’s Degree or equivalent practical experience and knowledge of various Linux Distros
- Minimum 3-5 years of experience in data center environments, operations, IT, or related fields
- Ability to work long and/or on-call shifts that may include evenings/nighttimes, weekends, and/or holidays
- Ability to physically lift equipment at least 50 pounds
- Exceptional attention to detail and ability to troubleshoot intricate terminal systems, swap out failed components, and repair servers (discrete/rack-based)
- Knowledge of the installation of software and firmware updates, OS, PXE
- Familiarity with RAID, SAN, x86 architecture, Command Line Interface, Boot Processes, GRUB/LILO, File Systems, network device and protocol configuration
- RMA processing and coordination with the Logistics Team
- Handle storage media/Data Bearing Device (DBD) Reconcile/Physical Audits
- Flexibility to travel to various data centers as needed
- Excitement and passion for the exciting field of AI and machine learning!
Preferred Qualifications
- Applicable certifications: CompTIA (Server+, Network+) or CCNP
- Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems, RAID, distributed file systems, NFS / iSCSI / CIFS
- Core OS Services: SSH, telnet, FTP, NFS, DNS, DHCP, LDAP
- Experience with NVIDIA GPU linux software stack
- Configuration Management - Chef
- Version Control - Github
- Containerization - Docker
- Container Orchestrators - Mesosphere/Kubernetes
- Virtualization - QEMU/KVM
- Network hardware - Arista/Cisco/Fortinet
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.
The team: Product & Engineering HIRES STEADILY
This role is one of 71 open in Product & Engineering. 36 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (39 of 71), LLM (34 of 71), OWASP (34 of 71), Node.js (29 of 71), Python (27 of 71), JavaScript (26 of 71), Deep Learning (20 of 71)
OTHER ROLES ON THIS TEAM
- Frontend Engineer posted Oct 22
- Software Engineer - Frontend posted Oct 15
- Software Engineer - Frontend posted Oct 15
- UI / UX Designer posted Oct 15
- Systems Engineer / DevOps posted Oct 15
- Machine Learning Engineer posted Oct 15
- Staff Software Engineer - Backend posted Oct 15
- Staff Software Engineer - Backend posted Oct 15
- Forward Deployed Software Engineer posted Oct 15
- Staff Machine Learning Engineer posted Oct 15
- Engineering Manager posted Oct 15
- Staff Machine Learning Engineer posted Oct 15
- Engineering Manager posted Oct 15
- Business Analyst, Deploy Models posted Oct 15
- Associate Product Manager, Deploy Models posted Oct 15
- Software Engineer - Backend posted Oct 15
- Software Engineer - Backend posted Oct 15
- Senior Software Engineer - Frontend posted Oct 15
- Senior Software Engineer - Frontend posted Oct 15
- Senior Software Engineer - Backend posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Software Engineer - Backend posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Machine Learning Engineer posted Oct 15
- Senior Machine Learning Engineer posted Oct 15
- Security Engineer posted Oct 15
- Security Engineer posted Oct 15
- Product Manager, Deploy Models posted Oct 15
- Product Manager, Deploy Data posted Oct 15
- Product Manager, Consumer Applications posted Oct 15
- Product Manager, AutoML posted Oct 15
- Machine Learning Manager posted Oct 15
- Machine Learning Manager posted Oct 15
- Machine Learning Engineer posted Oct 15
- Associate Product Manager, Hive Models posted Jul 23
- Forward Deployed Software Engineer posted Feb 13
- Product Manager, AutoML posted Feb 27
- Product Manager, Consumer Applications posted Feb 27
- Data Center Technician posted Feb 9
- Staff Software Engineer - Backend posted Apr 21
- Staff Machine Learning Engineer posted Apr 21
- Software Engineer - Backend posted Apr 21
- Senior Software Engineer - Backend posted Apr 21
- Senior Site Reliability Engineer posted Apr 21
- Senior Machine Learning Engineer posted Apr 21
- Senior Software Engineer - Frontend posted Apr 21
- Security Engineer posted Apr 21
- Machine Learning Manager posted Apr 21
- Machine Learning Engineer posted Apr 21
- Software Engineer - Frontend posted Apr 21
- Engineering Manager posted Apr 21
- Senior Site Reliability Engineer posted Apr 20
- Machine Learning Manager posted Jan 24
- Senior Machine Learning Engineer posted Dec 10
- Staff Machine Learning Engineer posted Dec 10
- Senior Software Engineer - Frontend posted Nov 23
- Senior Software Engineer - Backend posted Nov 23
- Staff Software Engineer - Backend posted Nov 23
- Product Manager, Hive Models posted Jun 22
- Security Engineer posted May 6
- Systems Engineer / DevOps posted Jan 15
- Software Engineer - Backend posted Jan 15
- Product Manager, Hive Data posted Jan 15
- Machine Learning Engineer posted Jan 15
- Software Engineer - Frontend posted Jan 15
- Engineering Manager posted Jan 15
- Business Analyst, Hive Models posted Jan 15
- UI / UX Designer posted Nov 13
- Frontend Engineer posted Nov 13
From the team and dates on Hive's own job board.
Other openings for this role
2 open postings for this role in San Francisco, first posted 20 March 2026. The company is likely hiring for more than one position. None has been taken down and posted again.
- 22 October 2026 – open (this posting)
- 20 March 2026 – open
Salary context
7 other open postings titled Data Center Technician state a salary: median USD 80,000 to USD 93,600 a year.
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