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On Call Network Capacity Planning Jobs (NOW HIRING)

Parsons Corporation

Network Engineer

Aberdeen, MD · On-site

Responsible for network capacity planning to support current and future operational demands Configuration Management, Upgrades & Documentation * Responsible for network equipment OS and version ...

Parsons

Network Engineer

Aberdeen, MD

Responsible for network capacity planning to support current and future operational demands Configuration Management, Upgrades & Documentation * Responsible for network equipment OS and version ...

Parsons Corporation

Senior Network Engineer

Aberdeen, MD · On-site

$111K - $153K/yr

Responsible for network capacity planning to meet current and future operational demands Configuration Management, Upgrades & Documentation * Responsible for network equipment OS and version upgrades ...

Maximus

Network Administrator

Annapolis Junction, MD · On-site

... network capacity planning and bandwidth management to accommodate future growth and changing ... and on-call requirements. • This contract supports systems that require 24x7x365 uptime.

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All JobsOn Call Network Capacity Planning Jobs

On Call Network Capacity Planning information

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$92K

$115.3K

$130K

How much do on call network capacity planning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for on call network capacity planning in the United States is $115,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What does a network planning specialist do?

A network planning specialist is responsible for designing, analyzing, and optimizing network infrastructure to ensure reliable and efficient communication services. They assess capacity needs, develop expansion strategies, and use tools like network modeling software to plan future growth while minimizing costs and downtime.

What is a capacity planning job?

A capacity planning job involves analyzing and forecasting an organization's future infrastructure needs to ensure sufficient network, hardware, or system resources are available to meet demand. Professionals in this role use data analysis, performance metrics, and planning tools to optimize resource allocation and prevent bottlenecks, often working closely with network engineers and IT teams. Strong analytical skills and knowledge of network or system architecture are essential for success in this field.

What is the difference between On Call Network Capacity Planning vs Network Operations Analyst?

AspectOn Call Network Capacity PlanningNetwork Operations Analyst
CredentialsNetworking certifications, such as CCNA or CCNPNetworking or IT certifications, such as CCNA, CompTIA Network+
Work EnvironmentOffice-based, on-call for capacity issuesOffice or data center, monitoring network performance
Employer & IndustryTelecom, ISPs, large enterprisesTelecom, ISPs, enterprise IT departments

On Call Network Capacity Planning focuses on forecasting and ensuring network resources meet future demands, often working proactively. In contrast, a Network Operations Analyst monitors and maintains current network performance, responding to issues as they arise. Both roles require networking certifications and are vital in telecom and IT industries, but their primary focus differs: planning versus operational support.

What is capacity planning in networking?

Capacity planning in networking involves analyzing current network usage and predicting future demands to ensure sufficient bandwidth, hardware, and resources are available. For an On Call Network Capacity Planning role, it requires understanding network performance metrics, scalability, and tools like network monitoring software to maintain optimal network performance and prevent congestion.

What is WFM capacity planning?

Workforce Management (WFM) capacity planning involves analyzing and forecasting staffing needs to ensure adequate coverage for operational demands. For On Call Network Capacity Planning roles, it includes assessing network load, predicting future capacity requirements, and scheduling staff accordingly using tools like forecasting software to maintain service levels.
More about On Call Network Capacity Planning jobs
What are the most commonly searched types of Network Capacity Planning jobs? The most popular types of Network Capacity Planning jobs are:
What job categories do people searching On Call Network Capacity Planning jobs look for? The top searched job categories for On Call Network Capacity Planning jobs are:
On Call Network Capacity Planning jobs near you
Infographic showing various On Call Network Capacity Planning job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 76% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $115,341 per year, or $55.5 per hour.
Performance & Capacity Engineer - Capacity Planning Optimization (Leadership)

Performance & Capacity Engineer - Capacity Planning Optimization (Leadership)

Meta

Seattle, WA

$219K/yr

Full-time

Re-posted 4 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

136th of 209 rated software companies

Job description

Meta is seeking a leader to join the Capacity Planning Optimization Engineering team to lead our Capacity Planning process design and execution.You will build and optimize infrastructure capacity planning processes and tools covering all of Meta, in one of our largest transformations of how we plan and manage infrastructure capacity. This is a hands on leadership role, interfacing with executive leadership at the company to run our infrastructure Capacity Planning processes. Although this is not a software engineering role, you will also design and contribute to planning software systems to increase planning efficiency and quality. You will be in one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams at the intersection of all Meta products and services (Facebook, Instagram, WhatsApp, etc), all physical infrastructure (Servers, Data Centers, Network), and product business goals (AI, Metaverse, etc). You will be uniquely positioned to optimize these capacity plans at the most strategic levels with company level impact, with your output used at the CxO level for the most important decisions at the company, as well as providing execution guidance for infrastructure and product teams.To do this, you will partner across technical and business orgs to design the right solutions and lead engineers to build effective technical and process solutions to transform Meta's capacity planning process to be software driven, highly flexible, agile, and ROI Driven. You will connect business strategy with software-driven modeling of detailed service, platform, and infrastructure considerations for executable plans.This position is full-time.
Performance & Capacity Engineer - Capacity Planning Optimization (Leadership) Responsibilities:
  • Own infrastructure capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
  • Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find optimal ways to scale our infrastructure and place our services
  • Design and contribute to analytical models to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc
  • Effectively lead company-wide Capacity Planning business processes across technical and non technical contributors while delivering the most complex parts yourself
  • Partner with Finance and business teams to balance cost efficiency with technical and product considerations
  • Work cross-functionally to define problem statements, collect data, build software driven models and make recommendations to drive change and optimization at the company level

Minimum Qualifications:
  • Experience with planning for large-scale technical infrastructure and distributed systems
  • Demonstrated success leading large technical infrastructure planning projects and initiatives. Demonstrated success leading large technical infrastructure planning projects and initiatives, including defining goals, managing ambiguity, and leading other engineers and non-technical contributors
  • Demonstrated success working with executive level audiences and partners
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, relevant technical field, or equivalent practical experience
  • Experience programming in Python, C++, or similar languages
  • 10+ years of experience in Engineering, Data Science, or Operations Research

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
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience and interest in building "Zero to One" - building systems and process from scratch with ambiguous requirements and goals
  • Experience with mathematical optimization and solvers
  • Experience with technical infrastructure planning or capacity planning
  • 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.
$219,000/year to $301,000/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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