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Network Infrastructure Manager Jobs in Arizona (NOW HIRING)

Cloud Network Engineering Lead, VP

Tempe, AZ · Hybrid

$97K - $134K/yr

... management, observability, core network infrastructure, LTMs/GTMs , ALBs, NLBs, GLBs, Route53, and Infoblox DNS, IPAM , and network security * 5+ years of experience with large-scale multi-VPC AWS ...

Participate in infrastructure upgrades, disaster recovery planning, and change management activities. * Develop and maintain network documentation, standards, and operational procedures.

Senior Network Engineer

Tempe, AZ · On-site

$101K - $138K/yr

Maintain accurate documentation of network infrastructure, configurations, and processes * Manage inventory of network equipment and coordinate deployment to various sites REQUIREMENTS: * Bachelor ...

Participate in infrastructure upgrades, disaster recovery planning, and change management activities. * Develop and maintain network documentation, standards, and operational procedures.

Design, configure, and deploy network infrastructure (LAN/WAN, cloud, data centers) * Manage routers, switches, firewalls, and SD-WAN solutions * Implement and maintain security protocols (VPN, IPsec ...

Showing results 21-40

Network Infrastructure Manager information

See Arizona salary details

$75K

$143.5K

$184.5K

How much do network infrastructure manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for network infrastructure manager in Arizona is $143,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $183,600.00 per year, depending on experience, location, and employer.

What is the difference between Network Infrastructure Manager vs Network Engineer?

AspectNetwork Infrastructure ManagerNetwork Engineer
CertificationsCCNA, CCNP, Cisco certificationsCCNA, CompTIA Network+
Work EnvironmentOversees entire network infrastructure, manages teamsDesigns, implements, and troubleshoots network systems
ResponsibilitiesStrategic planning, infrastructure upgrades, team managementNetwork configuration, maintenance, and support

The Network Infrastructure Manager focuses on overseeing and managing the entire network infrastructure, including team leadership and strategic planning. In contrast, the Network Engineer handles the technical design, implementation, and troubleshooting of network systems. Both roles often require similar certifications but differ in scope and responsibilities.

What are some common challenges a network infrastructure manager faces when overseeing large-scale network environments?

Network Infrastructure Managers often encounter challenges such as ensuring network reliability across multiple locations, managing the integration of new technologies, and maintaining robust security protocols. Balancing day-to-day operational demands with long-term infrastructure upgrades can require careful planning and resource allocation. Additionally, they must coordinate effectively with other IT teams and business stakeholders to address evolving organizational needs and minimize downtime.

What is a network infrastructure manager's salary?

The average salary for a network infrastructure manager typically ranges from $80,000 to $130,000 annually, depending on experience, location, and company size. Professionals in this role often hold certifications like Cisco CCNP or CompTIA Network+ and oversee network design, implementation, and maintenance in enterprise environments.

Is a network infrastructure manager a stressful job?

A network infrastructure manager oversees the design, implementation, and maintenance of an organization’s network systems, which can involve managing complex technical issues and ensuring system security. The role can be stressful during network outages, security breaches, or project deadlines, but it also offers opportunities for problem-solving and technical growth. Stress levels vary depending on the organization, workload, and experience of the manager.

What does a network infrastructure manager do?

A network infrastructure manager oversees the design, implementation, and maintenance of an organization's computer networks, including local area networks (LANs), wide area networks (WANs), and data centers. They ensure network security, optimize performance, and coordinate with IT teams, often using tools like network monitoring software and requiring certifications such as Cisco CCNA or CompTIA Network+. Their role involves managing network hardware, troubleshooting issues, and planning upgrades to support business operations.

What are the key skills and qualifications needed to thrive as a network infrastructure manager, and why are they important?

To thrive as a Network Infrastructure Manager, you need strong expertise in network architecture, troubleshooting, and security, typically supported by a degree in information technology or computer science. Familiarity with network management tools, firewalls, Cisco or Juniper devices, and certifications such as CCNP or CompTIA Network+ is highly valued. Exceptional leadership, project management, and communication skills help coordinate teams and ensure smooth operations. These abilities are essential for maintaining secure, reliable network systems and leading teams in complex, dynamic environments.
What are the most commonly searched types of Network Infrastructure jobs in Arizona? The most popular types of Network Infrastructure jobs in Arizona are:
What are popular job titles related to Network Infrastructure Manager jobs in Arizona? For Network Infrastructure Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Network Infrastructure Manager jobs in Arizona look for? The top searched job categories for Network Infrastructure Manager jobs in Arizona are:
What cities in Arizona are hiring for Network Infrastructure Manager jobs? Cities in Arizona with the most Network Infrastructure Manager job openings:
Infographic showing various Network Infrastructure Manager job openings in Arizona as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $143,537 per year, or $69 per hour.

Network Engineer, AI Infrastructure Repair

Meta

Chandler, AZ

$193K/yr

Full-time

Re-posted 4 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 242 rated software companies


Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

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.
$193,000/year to $271,000/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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