1

Network Capacity Planning Jobs (NOW HIRING)

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

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

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 ...

next page

Showing results 1-20

Network Capacity Planning information

See salary details

$14

$49

$83

How much do network capacity planning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for network capacity planning in the United States is $49.69, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $61.06 per hour, depending on experience, location, and employer.

How much does a capacity planner make?

A network capacity planner typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in network modeling and tools may earn higher salaries. Certifications like Cisco or Juniper can also influence compensation.

Is networking a high paying job?

Network Capacity Planning is a specialized role within IT that involves analyzing and forecasting network infrastructure needs. Salaries for this role are generally above average for IT positions, especially for those with certifications like Cisco or Cisco, and experience with network modeling tools. Compensation varies based on experience, location, and industry, but it is considered a well-paying career path in the technology sector.

What is network capacity planning?

Network capacity planning is the process of determining the bandwidth, hardware, and resources needed to ensure a computer network can handle current and future data traffic efficiently. It involves analyzing usage patterns, forecasting growth, and designing the infrastructure to prevent congestion or downtime. Effective network capacity planning helps organizations optimize performance, control costs, and scale their networks as demands increase.

What is capacity planning in networking?

Capacity planning in networking, relevant to network capacity planning roles, involves analyzing current network usage and predicting future demands to ensure sufficient bandwidth, hardware, and resources are available. It helps prevent network congestion and downtime by aligning infrastructure with organizational growth and performance requirements.

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

AspectNetwork Capacity PlanningNetwork Operations Analyst
Primary FocusForecasting and planning network resources to meet future demandMonitoring and managing current network performance and issues
Skills & CertificationsNetwork design, capacity planning, Cisco or Juniper certificationsNetwork monitoring, troubleshooting, Cisco certifications
Work EnvironmentStrategic planning teams, engineering departmentsOperational support teams, network operations centers
Industry UsageTelecom, ISPs, large enterprise networksTelecom, ISPs, enterprise network management

While Network Capacity Planning focuses on predicting future network needs and ensuring scalability, Network Operations Analysts handle day-to-day network performance and troubleshooting. Both roles are essential for maintaining robust network infrastructure but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive in Network Capacity Planning, and why are they important?

To thrive in Network Capacity Planning, you need a solid background in network engineering, data analysis, and capacity forecasting, often supported by a degree in computer science or related field. Familiarity with network monitoring tools such as SolarWinds, NetFlow, or Cisco Prime, as well as certifications like CCNP or CompTIA Network+, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals translate complex data into actionable plans and collaborate with cross-functional teams. These skills are vital for ensuring reliable network performance, preventing bottlenecks, and supporting organizational growth.

What are the typical challenges faced in a Network Capacity Planning role, and how can I prepare for them?

Professionals in Network Capacity Planning often navigate challenges such as forecasting future network usage, responding to unexpected traffic spikes, and aligning infrastructure investments with business growth. Success in this role requires staying current with emerging technologies, developing strong analytical skills, and collaborating effectively with network engineers, operations, and business stakeholders. Being proactive in monitoring network performance metrics and leveraging data-driven decision-making will help you anticipate issues before they impact service quality.

What is a network planner job description?

A network planner is responsible for designing, analyzing, and optimizing network infrastructure to ensure reliable and efficient communication. They assess current network capacity, forecast future needs, and develop strategies to upgrade or expand systems, often using tools like network modeling software. Strong analytical skills and knowledge of networking protocols are essential for this role.
More about 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 states have the most Network Capacity Planning jobs? States with the most job openings for Network Capacity Planning jobs include:
Infographic showing various Network Capacity Planning job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution, with an average salary of $103,362 per year, or $49.7 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

135th 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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom