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Overnight Data Center Capacity Engineer Jobs in Edison, NJ

The New York Times

Senior Cloud Capacity Engineer

New York, NY · On-site

$61 - $81.50/hr

The Cloud Cost & Capacity Engineering (CCCE) team bridges finance, engineering, data, and product ... You will sit at the center of how The New York Times manages cloud capacity and growth. Your work ...

Flux

Mechanical Engineer (Data Center)

New York, NY · On-site

$96.15 - $120.19/hr

Mechanical Engineer (Data Center Infrastructure) This is a full-time, full-time (40 hours/week), on ... Experience with CFD modeling and thermal/capacity planning * Strong ability to manage external ...

Meta

Data Center Lease Portfolio Manager

New York, NY

$197K/yr

Develop and maintain portfolio-level capacity models that align leased data center inventory with ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

Data Center Site Selection Manager

New York, NY

$170K/yr

Bachelor's degree in a business, engineering, environmental, or energy related discipline * 8+ years experience in facilitating, evaluating, or managing data center capacity projects * Experience ...

Jane Street

Data Center Engineer

New York, NY · On-site

About the Position We are looking for an experienced Senior Data Center Engineer who can help our team keep Jane Street's data safe and accessible around the clock, which will involve a mix of hands ...

Jane Street

Data Center Engineer

New York, NY

About the Position We are looking for an experienced Senior Data Center Engineer who can help our team keep Jane Street's data safe and accessible around the clock, which will involve a mix of hands ...

Meta

Data Center Location Strategy Manager

New York, NY

$202K/yr

... engineering, finance, legal, and policy stakeholders * 12+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, or a closely related field within ...

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All JobsData Center Capacity Engineer JobsOvernight Data Center Capacity Engineer JobsOvernight Data Center Capacity Engineer Jobs in Edison, NJ

Overnight Data Center Capacity Engineer information

See Edison, NJ salary details

$53.3K

$152.7K

$203.9K

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

As of Aug 13, 2026, the average yearly pay for overnight data center capacity engineer in Edison, NJ is $152,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $202,900.00 per year, depending on experience, location, and employer.

How much money does an overnight data center capacity engineer make?

An overnight data center capacity engineer typically earns between $70,000 and $110,000 annually, depending on experience, location, and certifications. The role often requires knowledge of data center infrastructure, capacity planning, and monitoring tools, with some positions offering shift differentials for overnight hours.

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 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 are the most commonly searched types of Data Center Capacity Engineer jobs in Edison, NJ?

The most popular types of Data Center Capacity Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Overnight Data Center Capacity Engineer jobs?

Cities near Edison, NJ with the most Overnight Data Center Capacity Engineer job openings:

Overnight Data Center Capacity Engineer jobs near you

Performance & Capacity Engineering - Capacity Planning Optimization

Meta

New York, NY

$184K/yr

Full-time

Re-posted 5 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing capacity plans at various altitudes to balance capacity, power, and cost, in an environment of continual product introduction, directly managing billions of investment annually. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta’s products. This role will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world!
Performance & Capacity Engineering - Capacity Planning Optimization Responsibilities:
  • Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network
  • Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
  • Contribute to end to end capacity planning processes, methodologies, and data to deliver executable and optimized plans
  • Manage and resolve critical escalations and exceptions in all areas of the capacity planning
  • Build linear programming models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels
  • Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
  • Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities. Balance the need to “keep things running” with longer-term, high-impact projects

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
  • 8+ years of experience in designing and implementing models and optimization algorithms
  • 4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • 4+ years of experience with LP solvers such as Xpress or Gurobi
  • Experience working with distributed systems at scale
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience working with cross-functional teams
  • Experience optimizing complex systems, working with large datasets, and driving business impact

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • 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.
$184,000/year to $257,000/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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