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Computer Network Engineer Jobs in Phoenix, AZ (NOW HIRING)

KēSTA I.T.

Sr. Network Engineer

Tempe, AZ

$120K - $131K/yr

T. is actively seeking a Sr. Network Engineer for an immediate full-time opportunity with our ... Bachelor's degree in Information Systems, Computer Science, or a related field * 5+ years of hands ...

Focused HR Solutions

1-20- Network Engineer

Phoenix, AZ · Remote

$45 - $52/hr

VMWare, etc. * BS in Computer/Information Systems and/or five years of experience as a server ... Systems/Network Engineer within its Technology Services Division. FPCC 7 year BKG Check It ...

TriWest Healthcare

Network Engineer II

Phoenix, AZ · On-site

... Engineering or related field preferred • Experience with Fortinet network and management systems ... Computer Literacy: Ability to function in a multi-system Microsoft environment using Word, Outlook ...

Meta

Network Engineer, Deployment & Support

Mesa, AZ

$135K/yr

Meta's Edge & Network Services (ENS) team is actively looking for passionate people to help us ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Iridium Satellite, LLC

Senior Network Engineer

Chandler, AZ · On-site

$100K - $137K/yr

What We're Looking For: The Senior Network Engineer will play a key role in development ... Bachelor's degree in computer science, Information Technology, or similar field * 8+ years of ...

NovaSource Power

Network Administrator II

Chandler, AZ · On-site

... engineering, performance analysis, strategic supply chain management, and advanced monitoring ... Proven ability to support computer/network hardware and software technologies. * Must be customer ...

Iridium Satellite, LLC

Senior Network Engineer

Chandler, AZ · On-site

$100K - $137K/yr

What We're Looking For: The Senior Network Engineer will play a key role in development ... Bachelor's degree in computer science, Information Technology, or similar field * 8+ years of ...

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All JobsComputer Network Engineer JobsComputer Network Engineer Jobs in Phoenix, AZ

Computer Network Engineer information

See Phoenix, AZ salary details

$28.3K

$99.4K

$144K

How much do computer network engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for computer network engineer in Phoenix, AZ is $99,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,100.00 and $121,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior computer network engineers with extensive experience, advanced certifications, and expertise in designing and managing large-scale networks can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large corporations. Such roles often require specialized skills in cybersecurity, cloud infrastructure, and network architecture, along with leadership responsibilities.

What are the most common challenges Computer Network Engineers face when managing large-scale networks?

Computer Network Engineers often encounter challenges such as ensuring network security, minimizing downtime, and efficiently troubleshooting connectivity issues in large-scale environments. Managing complex configurations, keeping up with rapidly evolving technologies, and integrating new hardware or software can also be demanding. Effective collaboration with IT teams, clear documentation, and continuous learning are essential to successfully address these challenges and maintain robust network performance.

What does a computer network engineer do?

A computer network engineer designs, implements, and maintains computer networks such as local area networks (LANs), wide area networks (WANs), and intranets. They troubleshoot network issues, configure hardware and software, and ensure network security using tools like firewalls and VPNs. Certification such as Cisco's CCNA is often required, and they typically work in office environments with regular schedules.

What engineers make $300,000 a year?

Senior computer network engineers with extensive experience, advanced certifications (such as CCIE), and expertise in designing and managing large-scale networks can earn salaries of $300,000 or more annually. These roles often require working in high-demand industries, managing complex infrastructure, and sometimes include leadership responsibilities or consulting work.

What is the difference between Computer Network Engineer vs Network Administrator?

AspectComputer Network EngineerNetwork Administrator
CertificationsCCNA, CCNP, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentDesigns and plans network infrastructure, often in project-based rolesMaintains and manages existing networks, handles daily operations
Employer & Industry UsageTech firms, large corporations, consulting firmsMost organizations with IT infrastructure, including small to large businesses

While both roles involve networking skills, Computer Network Engineers focus on designing and implementing network solutions, whereas Network Administrators manage and maintain those networks on a daily basis. The roles often overlap, but their primary responsibilities differ in scope and focus.

Will AI replace CCNA jobs?

AI is unlikely to fully replace Computer Network Engineers with CCNA certification, as the role requires complex problem-solving, network design, and troubleshooting skills that AI cannot fully replicate. Instead, AI tools are expected to augment their work, making tasks more efficient and allowing engineers to focus on more strategic aspects of network management. Staying current with certifications and developing skills in network automation and security can help professionals remain valuable in the evolving field.

What are the key skills and qualifications needed to thrive as a Computer Network Engineer, and why are they important?

To thrive as a Computer Network Engineer, you need a solid understanding of network protocols, system architecture, and troubleshooting, typically backed by a degree in computer science or a related field. Familiarity with networking tools, hardware, firewalls, and certifications like Cisco CCNA or CompTIA Network+ is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with teams and resolving issues quickly. These competencies ensure reliable, secure network infrastructures that support organizational productivity and data integrity.
What are popular job titles related to Computer Network Engineer jobs in Phoenix, AZ? For Computer Network Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Computer Network Engineer jobs in Phoenix, AZ look for? The top searched job categories for Computer Network Engineer jobs in Phoenix, AZ are:
Computer Network Engineer jobs near you
Infographic showing various Computer Network Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $99,368 per year, or $47.8 per hour.
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Chandler, AZ

$193K/yr

Full-time

Posted 15 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 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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