Data Center Technician
About the job
- Experience working in a data center as a technician or similar role installing, configuring, and troubleshooting server and network equipment.
- Experience with large-scale network and server deployments.
- Firm understanding of GPU hardware and liquid-cooled rack solutions.
- Ability to work independently to manage projects within the facility.
- Firm understanding of servers, network equipment, and data center facility services such as power, cooling, and cross-connections to service providers.
- Experience troubleshooting, building, repairing, and upgrading servers.
- Ability to work in a fast-paced, high-availability environment and respond to incidents proactively.
- Ability to logically analyze and solve problems.
- Physical ability to stand for extended periods and lift up to 50 pounds.
- Install and perform ongoing maintenance on servers and network equipment, including rack-and-stack of servers and switches, cabling, and physical configuration of devices.
- Respond to reported server, network, and infrastructure issues.
- Work with facility staff to ensure power, cooling, and other facility-provided services are working properly; coordinate maintenance and ensure outages are addressed and escalated as needed.
- Work through assigned tickets and work requests, diagnose and repair hardware, and replace server components such as CPUs, memory, drives, motherboards, and network cables.
- Work with vendor warranty technicians to ensure warranty issues are resolved promptly and properly.
- Proactively identify issues and areas to improve efficiency and develop plans to resolve them.
- Set up, maintain, and document spare-parts inventory.
- Collaborate with cross-functional teams to improve deployment efficiency, automation, and monitoring.
- Escalate issues as needed to ensure prompt resolution by assisting system administrators in debugging network, hardware, and Linux operating system-related issues.
About the company
Vultr provides cloud infrastructure services that let developers, startups, and enterprises run high-performance cloud servers (SSD VPS), storage, and networking. Its products include cloud compute instances, storage solutions, and networking capabilities, which can be deployed globally in 60 seconds and billed on a subscription (pay-for-use) basis. Customers manage resources through an online dashboard and API, scaling up or down as needed. Vultr differentiates itself by emphasizing fast global deployment, straightforward management, and strong customer support at a competitive price, supported by a large footprint of users and deployed servers. The company’s goal is to simplify cloud computing and offer scalable, reliable infrastructure that is easy to use and cost-effective for a worldwide audience.
Company Size
201-500
Company Stage
Debt Financing
Total Funding
$662M
Headquarters
West Palm Beach, Florida
Founded
2014
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Simplify's Take
What believers are saying
- $1.2 billion HPE AMD Helios order on September 30, 2026 expands AI capacity.
- DPIIT and Vultr India signed August 8, 2026, unlocking startup cloud credits and support.
- VAST, Wasabi, SoftwareOne, and Cycle.io broaden the Cloud Alliance ecosystem in September 2026.
What critics are saying
- HPE’s $1.2 billion AI deal concentrates Vultr’s growth on one supplier and workload.
- NVIDIA and HPE dominate Vultr’s AI stack, tightening margins and bargaining power by 2027.
- AI capex misfires leave Vultr with stranded GPU racks and crushed cash generation.
What makes Vultr unique
- Vultr’s multi-continent footprint places compute near end users across latency-sensitive markets.
- The company stayed private and profitable, avoiding public-market pressure and quarterly growth theater.
- HPE’s June 17 and September 30, 2026 orders validate Vultr’s AI-cloud specialization.
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Benefits
Remote Work Options
401(k) Retirement Plan
401(k) Company Match
Professional Development Budget
Paid Vacation
Paid Sick Leave
Home Office Stipend
Phone/Internet Stipend
Gym Membership
Growth & Insights and Company News
6 month growth
↑ 23%1 year growth
↑ 23%2 year growth
↑ 23%Vultr at All-In Summit 2026: connecting the future of Enterprise AI Infrastructure. The All-In Summit brought together technology leaders, investors, and operators in Los Angeles to explore AI, infrastructure, and the future of enterprise technology. Bringing partners together. As part of its sponsorship of the Frontier Tech Hub, Vultr brought together six technology partners - HPE, DDN, Moody's, AMD, Qdrant, and LegionEdge - to share perspectives on the technologies and infrastructure shaping enterprise AI. Partner-led sessions explored topics ranging from AI infrastructure and data management to benchmarking and specialized models, and were separate from the All-In Summit's curated main-stage content. Vultr CMO Kevin Cochrane kicked off the sessions with "Beyond Hyperscale: The New Era of Enterprise AI Infrastructure," examining how enterprise AI is moving beyond training toward inference and agentic AI. AMD's Aleks Shargorodskiy discussed AMD's approach to AI infrastructure in the "AMD IS ALL-IN ON AI," covering compute, networking, intelligent systems, and open software. DDN's Brian McCloskey focused on the data behind AI workloads in "The Data Engine Powering the AI Economy," including GPU utilization and the cost of running AI infrastructure. From benchmarks to specialized models. The sessions also looked at some challenges that come once the infrastructure is in place. Qdrant's Daniel Azoulai presented "Enough with the Bad Benchmarks," explaining why Qdrant built a large dataset with deep ground truth to improve benchmarking for vector search. LegionEdge CEO Sean Filimon covered two topics: how memory should work across the different layers around a model, and how specialized models are shaping the next stage of AI development. HPE's Geeta Chhabria discussed "Every Watt, Every Token: HPE's AI Infrastructure Advantage," focusing on the infrastructure needed to run AI efficiently. From AI infrastructure to benchmarking, the conversations at the Vultr Frontier Tech Hub covered a wide range of technologies shaping enterprise AI. Vultr is grateful to its partners for joining Vultr at the All-In Summit and sharing their perspectives with this community. Catch Vultr at another event or get in touch today.
Hewlett Packard Enterprise shares jumped 4.5% on Wednesday after announcing a $1.2 billion AI systems deal with cloud provider Vultr and raising its networking revenue outlook. The agreement marks the first major order for AMD Helios AI Rack by HPE systems, which will be deployed across Vultr's US data centres. Each rack will integrate 72 AMD Instinct MI455X GPUs alongside HPE's purpose-built switching technology to support Vultr's AI cloud services. HPE also increased its fiscal 2027 networking revenue growth forecast to the high-teens to low-20s percentage range. The company projects data centre networking revenue will grow at a compound annual rate in the 50% range through fiscal 2029, whilst routing revenue is expected to increase in the low-to-high 20s range over the same period.
HPE shares rose over 4% in premarket trading Wednesday after announcing a $1.2 billion order from Vultr for AMD Helios AI Rack systems. The deal marks HPE's first order for the new AMD Helios system and will deploy the infrastructure across Vultr's US data centres. HPE is supplying networking infrastructure, liquid cooling, and deployment services for the systems. Each AMD Helios rack combines 72 AMD Instinct MI455X GPUs with AMD EPYC CPUs and networking cards. The order extends HPE's relationship with Vultr and Juniper Networks following HPE's 2025 acquisition of Juniper. Vultr CEO J.J. Kardwell said demand for high-performance AI infrastructure "continues to outpace available capacity." HPE stock has gained over 150% this year.
HPE secures its first AMD Helios order in $1.2 billion deal with Vultr. September 30, 2026 Vultr will deploy first AMD Helios(TM) AI Rack by HPE systems featuring new purpose-built HPE Networking scale-up switching at its U.S. data centers. SUNNYVALE, Calif. - Sept. 30, 2026 - HPE (NYSE: HPE) today announced a $1.2 billion order from Vultr, the world's largest privately-held cloud infrastructure company, to deploy AMD Helios(TM) AI Rack by HPE systems at Vultr's cloud data center locations in the United States. It is HPE's first order for the new AMD Helios system, which features purpose-built HPE Networking scale-up switching and software. HPE and AMD will support Vultr's effort to meet service provider and enterprise demand for model training and inferencing workloads in their AI data centers. "AI is driving the largest infrastructure buildout in history and together with AMD and Vultr, we are building an open foundation to accelerate the next phase of AI," said Antonio Neri, president and CEO of HPE. "AMD Helios by HPE demonstrates HPE's unique ability to engineer the complete AI architecture with rack-scale compute, scale-up networking, and direct liquid cooling, all delivered by our global services." The new order builds on nearly three years of collaboration between Vultr and Juniper Networks that continues to grow now that Juniper Networks is a part of HPE. "Demand for high-performance AI infrastructure continues to outpace available capacity, and our work with AMD and HPE enables us to bring Helios rack-scale compute and scale-up networking online for customers faster. Together, we're delivering the memory capacity, interconnect performance, and energy efficiency customers need to run the largest and most demanding AI training and inference workloads," said J.J. Kardwell, CEO of Vultr. The AMD Helios AI Rack by HPE is part of the HPE AI Data Center Solutions portfolio, a deeply integrated, production-ready infrastructure stack with AMD that is designed using open standards and optimized for the demanding economics and scale of the AI lifecycle. Scale AI with an open architecture AMD designed Helios as a high-density system for trillion-parameter model training and high-volume inference. * Each rack integrates 72 AMD Instinct(TM) MI455X GPUs with AMD EPYC(TM)"Venice" CPUs, AMD Pensando(TM) Vulcano AI NICs networking, and AMD ROCm(TM) software. The unified design is optimized for power, cooling, and serviceability, while supporting open, interoperable rack-scale fabrics such as UALink(TM) over Ethernet (UALoE). * HPE Networking purpose-built for Helios, including six HPE Juniper Networking QFX5252 scale-up Ethernet switch trays per rack, connect all 72 GPUs with high-bandwidth, low-latency, standards-based Ethernet. * HPE Services reduces project and operational risk through expertise in end-to-end deployment and liquid-cooling for large AI clusters. The AMD Helios by HPE order with Vultr delivers a tangible example of HPE's integrated strategy that combines HPE Juniper Networking technologies with HPE compute, exascale liquid cooling, and rack-scale engineering to deliver an integrated, open Ethernet-based scale-up AI solution. HPE (NYSE: HPE) is a leader in essential enterprise technology, bringing together the power of AI, cloud, and networking to help organizations achieve more. As pioneers of possibility, its innovation and expertise advance the way people live and work. Hewlett Packard Enterprise empower its customers across industries to optimize operational performance, transform data into foresight, and maximize their impact. Unlock your boldest ambitions with HPE. Discover more at www.hpe.com. Media Contact: Ben Stricker
Vultr and VAST take AI infrastructure partnership to the next stage. Building on its collaboration through the Vultr Cloud Alliance, Vultr is deepening its work together to help customers tackle the growing infrastructure demands of AI. By combining Vultr's globally available cloud compute and cloud GPU infrastructure with VAST's AI data platform, Vultr is bringing compute and data closer together to support demanding AI workloads - from large-scale training and real-time inference to data-intensive AI pipelines. As AI moves further into production, organizations need infrastructure that can scale with growing models, datasets, and workloads without adding unnecessary complexity. As agentic AI moves into production, the data layer becomes increasingly critical. AI agents need timely access to enterprise information to make informed decisions and take action, while businesses need confidence that access to that data remains controlled, secure, and accountable. Vultr and VAST bring cloud compute, GPUs, and data infrastructure together as a composable foundation for these workloads. Customers can scale each layer according to their requirements while giving AI applications the data availability, responsive access, and enterprise controls needed for production environments. Vultr is excited to continue strengthening its partnership with VAST and building a more powerful foundation for production AI.