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Apprentice Data Center Capacity Engineer Jobs in Missouri

Jobgether

... capacity, efficiency, and reliability objectives. Working with technology partners and ... Own the overall technical design, architecture, and engineering vision for large-scale data center ...

Supermicro

Data Center Engineer

Kansas City, MO · On-site

They are seeking a Data Center Engineer responsible for fieldwork at customer sites to resolve and repair server systems while ensuring customer satisfaction through service excellence and technical ...

Supermicro

Data Center Engineer

Kansas City, MO · On-site

$91K - $134K/yr

... Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded ... The Service Engineer is a critical part of post-sales support and needs to demonstrate exceptional ...

Super Micro Computer

Data Center Engineer

Kansas City, MO · On-site

$91K - $134K/yr

... Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded ... The Service Engineer is a critical part of post-sales support and needs to demonstrate exceptional ...

Super Micro Computer

Data Center Engineer

Kansas City, MO · On-site

$91K - $134K/yr

... Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded ... The Service Engineer is a critical part of post-sales support and needs to demonstrate exceptional ...

Introl

Data Center Technician

Kansas City, MO · On-site

$30 - $36/hr

... for data center operations. The region is growing as a hub for cloud computing and GPU ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

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Apprentice Data Center Capacity Engineer information

What is the difference between Apprentice Data Center Capacity Engineer vs Data Center Technician?

AspectApprentice Data Center Capacity EngineerData Center Technician
Required CertificationsBasic technical certifications, on-the-job trainingIT or electrical certifications often preferred
Work EnvironmentAssisting in capacity planning, monitoring infrastructureMaintaining hardware, troubleshooting equipment
Employer & Industry UsageEntry-level role in data center operations, often in large tech or telecom companiesHands-on hardware and network support in data centers

The Apprentice Data Center Capacity Engineer focuses on learning and assisting with capacity planning and infrastructure monitoring, while the Data Center Technician handles hardware maintenance and troubleshooting. Both roles are essential in data center operations but differ in responsibilities and experience level.

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The most popular types of Data Center Capacity Engineer jobs in Missouri are:

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Apprentice Data Center Capacity Engineer jobs near you

Head of Data Center Design

On-site, Remote

Jobgether
See more jobs at Jobgetherexternal

Full-time

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Data Center Design based in Netherlands.

As Head of Data Center Design, you will take ownership of the technical vision and architecture for a major next-generation AI data center development in Europe.
You'll lead design decisions across power, cooling, IT infrastructure, fire protection, networking, and structural considerations.
The role offers significant technical influence, from early site feasibility and concept development through detailed engineering and construction execution.
You'll establish the Basis of Design and ensure that multidisciplinary teams remain aligned with performance, capacity, efficiency, and reliability objectives.
Working with technology partners and implementation teams, you'll ensure approved designs translate effectively into real-world infrastructure.
The environment is international, technically complex, and focused on large-scale, high-density compute infrastructure.
This is an opportunity to shape a critical infrastructure project designed to support the rapidly growing demands of AI and advanced computing.

Accountabilities
  • Own the overall technical design, architecture, and engineering vision for large-scale data center facilities.
  • Define and maintain the Basis of Design, covering modular POD architecture, cooling strategy, power topology, fire suppression, networking, and other critical infrastructure requirements.
  • Establish design standards for IT deployment, including rack layouts, containerization approaches, and CDU placement.
  • Lead multidisciplinary design reviews and approve engineering drawings across electrical, mechanical, structural, fire protection, and networking disciplines.
  • Establish and monitor design-stage targets for PUE, capacity, availability, redundancy, and reliability.
  • Coordinate with equipment manufacturers, technology providers, and engineering partners on technical specifications and integration requirements.
  • Work closely with implementation and construction teams to ensure that physical execution remains aligned with the approved design intent.
  • Assess and approve proposed design changes, evaluating their potential impact on cooling, power, capacity, redundancy, performance, and reliability.
  • Lead technical criteria for site selection and feasibility assessments, including power availability, grid connectivity, cooling options, and other infrastructure considerations.
  • Provide technical leadership throughout the design lifecycle and ensure consistent engineering standards across projects and disciplines.
Requirements
  • 5+ years of experience in data center design or in the design of critical infrastructure, industrial, energy, or similarly complex facilities; direct data center experience is highly valued but not mandatory.
  • Demonstrated ownership of, or significant contribution to, Basis of Design documentation for large-scale facilities.
  • At least 3 years of experience in a design leadership or technical leadership position.
  • Strong technical knowledge of power distribution/topology and cooling strategies, with sufficient working knowledge of fire suppression and structural loading to coordinate effectively across disciplines.
  • Proven experience leading multidisciplinary design reviews and reviewing or approving engineering drawings across multiple technical trades.
  • Strong ability to translate technical requirements into clear design standards, decisions, and execution requirements.
  • Excellent stakeholder management and communication skills, with the ability to collaborate with engineering teams, technology partners, suppliers, and construction teams.
  • Professional English proficiency sufficient for international technical documentation, meetings, and stakeholder communication.
  • Experience with modular or POD-based deployment architectures and high-density GPU/HPC environments is a strong advantage.
  • Knowledge of direct liquid cooling (DLC) systems is beneficial.
  • Tier III/IV certification or experience working with Uptime Institute certification processes is advantageous.
  • Experience conducting technical site feasibility assessments, including power availability, grid connection, and cooling source evaluation, is a plus.
  • Familiarity with high-density GPU infrastructure such as NVIDIA GB200/GB300 or equivalent platforms is desirable.
  • Experience spanning both data center design and construction execution is highly valued.
  • Knowledge of EU regulatory requirements covering power, environmental, and building compliance is an advantage.
Benefits
  • Full-time position with a fully remote working model.
  • Opportunity to take a leading technical role in the development of large-scale AI data center infrastructure.
  • Significant ownership over architectural and engineering decisions across the full data center lifecycle.
  • Exposure to advanced high-density compute, modular infrastructure, power, and cooling technologies.
  • International working environment with collaboration across engineering, technology, and implementation teams.
  • Opportunity to influence a major infrastructure project supporting the rapidly expanding AI and HPC ecosystem.
  • Broad scope spanning site feasibility, design leadership, technology integration, and construction execution.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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