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Overnight Data Center Capacity Engineer Jobs in Iowa

Collabera Digital

Data Center Engineer

Des Moines, IA · On-site

Preferred Skills Strong Communication Strong Communication Strong Communication Job details Job ID 332950 Role Data Center Engineer Location Des Moines, Iowa, US Job type Direct Hire Recruiter Tushar ...

CCI Systems, Inc.

Data Center Technicians

Des Moines, IA · On-site

We are seeking Data Center Technicians who are responsible for installing, splicing, testing, and ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

CCI Systems, Inc.

Data Center Technicians

Dubuque, IA · On-site

We are seeking Data Center Technicians who are responsible for installing, splicing, testing, and ... Coordinate with project managers, engineers, and other field crews. * Produce accurate and complete ...

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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 Iowa?

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

Overnight Data Center Capacity Engineer jobs near you

Data Center Capacity & Network Manager

Altoona, IA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$162K/yr

Full-time

Posted 17 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is hiring a Data Center Capacity and Support Manager to lead the deployment of hyperscale data centers. This central role leads a team of network engineers and coordinates with partners, vendors, and managed service providers to ensure that projects are completed in a timely manner. The manager will build and scale the team, focusing on ownership, speed, quality, and efficiency. Responsibilities include hands-on technical contributions, including design, deployment, and troubleshooting, demonstrating domain expertise and technical impact.
Data Center Capacity & Network Manager Responsibilities:
  • Manage the deployment, configuration, and ongoing support of large-scale network infrastructure across data centers and global regions
  • Act as the escalation point for technical issues, providing hands-on support and guidance to resolve complex problems swiftly
  • Develop and maintain relationships with partner teams, vendors, and managed service providers
  • Collaborate with engineering, data center, backbone, AI, and equipment vendors to integrate new technologies and drive innovation
  • Ensure that project timelines for network turn-ups are met, and ensure that all milestones are met
  • Drive deployment quality assurance by performing field walks, managing ENS Network Readiness Checklists, running audits, and ensuring every build meets data center standards
  • Distribute the deployment workload among team members based on projections, OKRs, and KPIs across skill sets and priorities
  • Drive operational efficiency across policies, processes, and procedures with a focus on standards compliance across the network
  • Identify root causes in complex systems and implement process enhancements and automation solutions
  • Contribute to the standardization and best practices of design, testing, and implementation of scalable network solutions. Serve as the primary relationship owner for all technical contractors (TCs) and managed service providers (MSPs) in region
  • Oversee the site's financial forecasts, budgets, and controls for network build and operations
  • Lead by example and build team cohesion and collaboration across regions to ensure alignment with organizational priorities
  • Provide mentorship, coaching, and career development to team members

Minimum Qualifications:
  • 8+ years of experience in network engineering in large-scale data center network deployments, including hands-on responsibility for planning, building, or migrating production networks
  • Experience with network incident management, change control processes, and operational tooling for monitoring and alerting in enterprise environments
  • Experience collaborating with cross-functional partners including facilities, real estate, and infrastructure teams to deliver network services on time and at scale

Preferred Qualifications:
  • 5+ years of experience managing / leading network engineering teams involved with large-scale network and wireless deployment programs across multiple physical sites, including hiring, performance management, and team development
  • Experience in large-scale network platforms designed for massive scale, high-bandwidth, and ultra-low latency
  • Knowledge of various scripting languages and/or programming language principles
  • Familiar with packet-based switching, optimized for AI traffic
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$162,000/year to $227,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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