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Network Deployment Jobs (NOW HIRING)

Meta is looking for an Optical Network Deployment Engineering to join a team responsible for planning and executing network deployments and migrations across one of the world's largest and most ...

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical backbone ...

Meta is looking for an Optical Network Deployment & Support Engineering lead to join the team responsible for planning and executing network deployments and migrations to build the world's largest AI ...

Meta is looking for an Optical Network Deployment & Support Engineering Lead to join the team responsible for planning and executing network deployments to build the world's largest AI backbone ...

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical backbone ...

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical backbone ...

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How much do network deployment jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for network deployment in the United States is $26.64, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $29.09 per hour, depending on experience, location, and employer.

What is a Network Deployment job?

A Network Deployment job involves installing, configuring, and optimizing network infrastructure to ensure reliable connectivity and performance. Professionals in this role work with routers, switches, fiber optics, and wireless technologies to expand or upgrade network coverage. They collaborate with engineers and field technicians to deploy network solutions efficiently. This job often requires travel to various sites and troubleshooting network issues on-site or remotely.

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

Successful candidates for Network Deployment roles possess strong knowledge of networking concepts, infrastructure setup, and troubleshooting, usually supported by a degree in computer science or a related field. Experience with network hardware, cabling standards, deployment software, and certifications like Cisco CCNA or CompTIA Network+ are highly valued. Excellent organizational abilities, attention to detail, and effective communication skills are important for managing complex projects and collaborating with teams. These skills ensure reliable network installations, problem-free rollouts, and efficient coordination within fast-paced technical environments.

What are the most common challenges faced in a Network Deployment role?

One of the primary challenges in Network Deployment is coordinating with multiple teams to ensure timely and accurate implementation of network infrastructure while minimizing downtime. Technicians often need to troubleshoot unforeseen issues on-site, adapt to evolving project requirements, and manage equipment constraints. The role also frequently requires balancing multiple projects with tight deadlines, often necessitating flexible scheduling and strong organizational skills. Overcoming these challenges enhances your problem-solving ability, sharpens your technical skills, and provides valuable experience for advancing to more senior network engineering or project management positions.
What are the most commonly searched types of Network Deployment jobs? The most popular types of Network Deployment jobs are:
What states have the most Network Deployment jobs? States with the most job openings for Network Deployment jobs include:
Infographic showing various Network Deployment job openings in the United States as of May 2026, with employment types broken down into 4% Locum Tenens, 88% Full Time, 4% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $55,420 per year, or $26.6 per hour.
Network Engineer, Deployment & Support

Network Engineer, Deployment & Support

Meta

Menlo Park, CA • On-site

$107K - $159K/yr

Full-time

Posted yesterday


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 185 rated software companies


Job description

Meta is looking for an Optical Network Deployment Engineering 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 are not afraid to propose new ideas, gather constructive feedback from others, and push forward to make these ideas a reality.
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
• Experience in creating and analyzing network code, automating network configurations and migrations through scripting, and leveraging 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
• Analytical, communication, and collaboration skills as well as proven ability to deliver results in large-scale contexts
• 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
• 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 adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Advanced degree (Master's, PhD) in Computer Science, Engineering, or related discipline
• High proficiency in automation (Python, Go, etc.) and network configuration management tooling
• Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
• Working knowledge of Artificial Intelligence / Machine Learning models
• Experience working in a Data Center, DC architecture and issues related to data center networks
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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