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Overnight 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 ...

Apex Systems

Data Center Tech - OFallon

O Fallon, MO · On-site

$30 - $50/hr

Job#: 3046632 Production Control Engineer II / Data Center Technician Location: O'Fallon, MO (100 ... capacity planning, performance monitoring, and event-driven alerting. * Provide second-level ...

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 ...

Oracle

Data Center Facilities Technician

Lees Summit, MO · On-site

Maintain all data center equipment and identify potential improvements for operational efficiency ... Engineering Design, Leadership, and Governance: -Collaborates with senior team members and supports ...

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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Overnight Data Center Capacity Engineer information

What is an overnight data center capacity engineer?

Overnight Data Center Capacity Engineers are professionals responsible for monitoring, managing, and optimizing the resources and infrastructure of data centers during overnight shifts. Their duties include analyzing system capacity, identifying potential bottlenecks, coordinating with operations teams, and ensuring that servers, networks, and power supplies are functioning efficiently throughout the night. They play a crucial role in maintaining uptime, responding to incidents, and planning for future capacity needs while regular staff may not be present. This position often requires strong analytical skills and familiarity with data center technologies.

What are the key skills and qualifications needed to thrive as an overnight data center capacity engineer?

To thrive as an Overnight Data Center Capacity Engineer, you need a strong background in data center operations, capacity planning, and systems engineering, typically supported by a degree in computer science or engineering. Familiarity with monitoring tools like DataDog, DCIM systems, and industry certifications such as CompTIA Server+ or Cisco CCNA are commonly required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These capabilities are critical for ensuring reliable, efficient data center performance and quick resolution of issues during overnight hours.

What are the main challenges faced by an overnight data center capacity engineer, and how can they be managed effectively?

Overnight Data Center Capacity Engineers often face challenges such as responding to unexpected hardware issues, managing real-time capacity fluctuations, and maintaining clear communication with day-shift teams. Since much of the critical maintenance and upgrades occur during low-traffic hours, quick problem-solving and autonomous decision-making are essential. To manage these challenges, engineers rely on detailed handover documentation, proactive monitoring tools, and regular coordination with cross-functional teams to ensure smooth transitions and uninterrupted operations.

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

AspectOvernight Data Center Capacity EngineerData Center Operations Technician
CertificationsData center certifications, capacity planning credentialsTechnical certifications, network or hardware skills
Work EnvironmentFocus on capacity analysis, planning, and optimization, often during overnight shiftsHands-on hardware, network maintenance, troubleshooting in data centers
Employer & Industry UsageData centers, cloud providers, large IT infrastructure firmsData centers, IT service providers, hardware vendors

The Overnight Data Center Capacity Engineer primarily focuses on analyzing and planning data center capacity needs during overnight shifts, ensuring optimal resource utilization. In contrast, the Data Center Operations Technician handles day-to-day hardware and network maintenance tasks. Both roles are essential in data center operations but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Center Capacity Engineer jobs in Missouri?

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

What cities in Missouri are hiring for Overnight Data Center Capacity Engineer jobs?

Cities in Missouri with the most Overnight Data Center Capacity Engineer job openings:

Overnight Data Center Capacity Engineer jobs near you

Head of Data Center Design

Jobgether

On-site, Remote

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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