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Overnight Data Center Capacity Engineer Jobs (NOW HIRING)

Fluidstack

Data Center Capacity Analyst

Austin, TX · On-site

$119K - $144K/yr

You've done capacity or space planning for data centers, industrial plants, or utilities. * You're comfortable in drawings and single-lines as well as spreadsheets. * You've built capacity models ...

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Overnight Data Center Capacity Engineer information

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$51.5K

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$197K

How much do overnight data center capacity engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for overnight data center capacity engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

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 cities are hiring for Overnight Data Center Capacity Engineer jobs?

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

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

What states have the most Overnight Data Center Capacity Engineer jobs?

States with the most job openings for Overnight Data Center Capacity Engineer jobs include:

Overnight Data Center Capacity Engineer jobs near you

Data Center Strategy & Planning Manager

Meta

Menlo Park, CA

$170K/yr

Full-time

Re-posted 27 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

We are looking for a Data Center Strategy & Planning Manager with experience in developing infrastructure strategies and programs to join the Strategic Planning team within the Data Center organization. In this role, you'll be part of the team that builds Meta’s global data center roadmap, develops end to end infrastructure scaling strategies, and develops plans to drive efficiency in our infrastructure that set the direction for one of the fastest growing platforms in the world.As a Data Center Strategy & Planning Manager, you will be accountable for driving investment decisions that cover billions of dollars and help scale our data center footprint efficiently to meet our growing product and service needs. This is a unique opportunity where you will be responsible for developing and leading transformational strategic initiatives and capacity programs from inception, evaluating trade-offs, and driving recommendations to executive leadership, and taking them through implementation. This is an individual contributor role, where you’re at home engaging directly in detailed analysis and execution and being in the details, as well as being able to develop long-term strategic perspectives, project manage complex initiatives, and influence partner teams to adopt improved processes and approaches.This is a highly cross functional role where you will be expected to partner with our data center capacity stakeholders (capacity engineering, network engineering, construction, site selection, site & facility operations, network, finance).
Data Center Strategy & Planning Manager Responsibilities:
  • Leverage technical experience and expertise to identify and build large transformational programs and initiatives across Infrastructure that scale Meta’s Data Center footprint efficiently
  • Develop new Data Center planning strategies that focus on driving improvements in reliability, and achieve cost and operational efficiency including reductions in deployment times, improvements in data center power utilization, and service placement optimizations
  • Optimize network, hardware and DC infrastructure footprints to drive efficiency
  • Develop detailed project evaluation plans for data center plan evolution and set the pace to drive closure
  • Apply quantitative techniques, develop decision scenarios and trade-offs to drive multi-billion dollar infrastructure decisions at the highest level in the organization
  • Own the communications strategy for data center planning decisions which includes executive level and detailed project briefs and status updates
  • Use technical judgment to drive new project evaluations, technology reviews and proposals building consensus

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor’s degree in a management, technical or engineering field
  • 12+ years of experience working in Infrastructure/Cloud/Hardware with a background in Strategy, Capacity Planning, Supply Chain Optimization, technology strategy consulting
  • Experience distilling various data points into actionable insights and recommendations, to identify key insights from large or complex data sets for executive communication and decision-making for executive communication and decision making
  • Business acumen and intuition, with the experience to form and refine hypotheses into an actionable analysis and recommendation
  • Problem solving and strategy skills, including expansive opportunity identification and framing of complex/ambiguous problems
  • Experience in completing multiple cloud/infrastructure/hardware efficiency or optimization projects
  • Technical experience in infrastructure, hardware or similar designs
  • Experience collaborating and working with internal and external organizations and individuals

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Master's degree in a relevant field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$170,000/year to $238,000/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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