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Network Deployment Planning Engineer Jobs (NOW HIRING)

Meta

Network Engineer, Deployment & Support

Aurora, IL · On-site

$106K/yr

This team is responsible for planning and executing network migrations for one of the world's largest AI backbone and edge networks. As a Network Deployment Engineer, you will propose new ideas ...

Meta

Network Engineer, Deployment & Support

Houston, TX · On-site

$106K/yr

This team is responsible for planning and executing network migrations for one of the world's largest AI backbone and edge networks. As a Network Deployment Engineer, you will propose new ideas ...

MANTECH

Network Deployment Engineer

Chantilly, VA · On-site

MANTECH seeks a motivated, career and customer-oriented Network Deployment Engineer to join our ... Coordinate and execute site deployments, including planning, scheduling, and on-site installation ...

MANTECH

Network Deployment Engineer

Chantilly, VA · On-site

MANTECH seeks a motivated, career and customer-oriented Network Deployment Engineer to join our ... Coordinate and execute site deployments, including planning, scheduling, and on-site installation ...

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Network Deployment Planning Engineer information

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How much do network deployment planning engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for network deployment planning engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What does a network deployment planning engineer do?

A Network Deployment Planning Engineer is responsible for designing, planning, and coordinating the installation and expansion of telecommunications or data networks. They analyze network requirements, assess site readiness, prepare deployment schedules, and ensure that network infrastructure meets technical and business needs. Their work involves collaborating with cross-functional teams, managing resources, and troubleshooting deployment issues to ensure seamless and efficient network rollouts.

What are the key skills and qualifications needed to thrive as a network deployment planning engineer?

To thrive as a Network Deployment Planning Engineer, you need a strong background in network architecture, planning, and optimization, typically supported by a degree in telecommunications, computer science, or electrical engineering. Familiarity with network design tools (like AutoCAD, Visio), simulation software, and certifications such as CCNP or JNCIP are commonly required. Analytical thinking, attention to detail, and strong problem-solving skills help you excel in complex deployment scenarios and cross-functional team environments. These skills are essential for designing efficient, scalable networks and ensuring seamless, cost-effective deployment projects.

What are some common challenges faced by a network deployment planning engineer, and how can they be addressed?

Network Deployment Planning Engineers often encounter challenges such as coordinating with multiple teams, managing tight project timelines, and adapting to rapidly changing technology requirements. Effective communication with cross-functional teams like field engineers, project managers, and vendors is crucial for smooth deployment. Proactively identifying potential bottlenecks and utilizing project management tools can help streamline the planning process. Staying updated on the latest networking standards and best practices also ensures successful and efficient network rollouts.

What is the difference between Network Deployment Planning Engineer vs Network Operations Engineer?

AspectNetwork Deployment Planning EngineerNetwork Operations Engineer
Primary FocusPlanning and designing network deployment projectsManaging and maintaining existing network operations
Required SkillsNetwork design, project management, technical planningTroubleshooting, network monitoring, operational support
CertificationsCCNA, CCNP, Cisco certificationsCCNA, Network+, Cisco certifications
Work EnvironmentProject sites, planning officesNetwork operation centers, support desks

The Network Deployment Planning Engineer focuses on designing and planning new network deployments, ensuring infrastructure readiness. In contrast, the Network Operations Engineer manages ongoing network performance and troubleshooting. Both roles require similar certifications and work in related environments, but their core responsibilities differ significantly.

What are popular job titles related to Network Deployment Planning Engineer jobs?

For Network Deployment Planning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Network Deployment Planning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $109,040 per year, or $52.4 per hour.

Network Engineer, Deployment & Support

Aurora, IL

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

$106K/yr

Full-time

Posted 10 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 looking for an Optical Network Deployment Engineer to join a team responsible for planning and executing network deployments and migrations across one of the world's largest and most complex backbone, edge, and optical networks. As a member of this team, you will have a unique opportunity to work on projects related to the planning, implementation, and scaling of Meta's AI network infrastructure. This team is responsible for planning and executing network migrations for one of the world's largest AI backbone and edge networks. As a Network Deployment Engineer, you will propose new ideas, gather constructive feedback from others, and drive these ideas to implementation.
Network Engineer, Deployment & Support Responsibilities:
  • Proactively partner with backbone engineering, capacity planning, business, and operations teams to synthesize complex cross-functional requirements into scalable infrastructure solutions
  • Plan, schedule, and execute complex deployments and migrations across Meta's optical backbone network, including long-haul terrestrial, regional metro, and subsea segments connecting data centers and PoP sites
  • Make independent, high-impact technical and planning decisions affecting backbone network deployment and operations
  • Provide technical expertise on network deployment and migration across data centers and POPs, spanning space & power, configuration, testing, and production handoff
  • Collaborate on strategic road mapping and organizational initiatives to prioritize scalable, efficient, and reliable network migrations aligned with business goals
  • Contribute to Optical Transport Network (OTN) deployment/migration strategies of network architecture spanning data centers, backbone, edge, and cloud platforms
  • Create and analyze network code, automate network configurations and migrations through scripting, and leverage AI to enhance network operations
  • Work cross-functionally to generate implementation plans including Method of Procedure (MOP), Bill of Materials (BOM), and Engineering Design Packages (EDP)
  • Maintain standards for all builds and design packages for metro, regional and long-haul DWDM rings/systems
  • Serve as a representative in large-scale program initiatives, driving alignment and execution across teams and stakeholders
  • Manage partner engineering team relationships to enable the team(s) to effectively meet business needs
  • Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
  • Drive alignment on workflow management tooling requirements, focusing on efficiency and automation roadmaps
  • Leverage a data driven approach to influence business and network health metrics

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 5+ years of experience in optical network engineering, design, or deployment with expertise in DWDM, ROADM, OTN (G.709), and coherent optics (400G/800G)
  • Experience with optical line systems and transponder platforms (e.g., Ciena, Nokia, Infinera, or equivalent)
  • Demonstrated expertise in architecting and deploying complex network solutions across data centers, backbone, edge, and public cloud environments
  • Experience with field-based work in 3rd Party Network Collocation Facilities, Internet Exchanges, Data Center, Central Offices, etc
  • Track record of defining and executing successful network strategies with measurable, organization-wide impact
  • Experience analyzing technical data to inform decisions, communicating risks and trade-offs to technical and non-technical stakeholders, and collaborating across teams to deliver results in large-scale network environments
  • Experience in communicating risks and action plans to stakeholders as well as building relationships and collaboration within a cross-functional team and business leaders
  • Willingness to travel approximately 10% of the time

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
  • Experience working in a Data Center, DC architecture and issues related to data center networks
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience building automation solutions (e.g., Python, Go) and working with network configuration management tooling
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Working knowledge of Artificial Intelligence / Machine Learning models
  • Advanced degree (Master’s, PhD) in Computer Science, Engineering, or related discipline

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.
$106,995/year to $159,000/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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