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Noc Engineer Jobs in Iowa (NOW HIRING)

Meta

IA

$193K/yr

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 ...

Collabera

Air System Development Engineer

Waterloo, IA · On-site

Analyzes assignments and determines engineering specifications which must be fulfilled for complex problems or projects of moderate scope. Produces and/or evaluates possible design solutions to ...

CSA Global LLC

System Engineer MCIS

Fort Dodge, IA · On-site

Client Solution Architects (CSA) is currently seeking a System Engineer MCIS to support our program at Fort Dodge, Iowa. For nearly 50 years, CSA has delivered integrated technology and operational ...

CSA Global LLC

System Engineer MCIS

Fort Dodge, IA · On-site

Description Client Solution Architects (CSA) is currently seeking a System Engineer MCIS to support our program at Fort Dodge, Iowa. For nearly 50 years, CSA has delivered integrated technology and ...

Belcan

Systems Engineering

Cedar Rapids, IA · On-site

$57.18/hr

Systems Engineer Location: Cedar Rapids, IA Zip Code: 52498 Duration: 36 Months Pay Rate: $57.18/hr. Keyword's: #CedarRapidsjobs; #SystemsEngineerjobs; Start Date: Immediate We provide a competitive ...

Belcan

Systems Engineering

Cedar Rapids, IA

$57.18/hr

Systems Engineer Location: Cedar Rapids, IA Zip Code: 52498 Duration: 36 Months Pay Rate: $57.18/hr. Keyword's: #CedarRapidsjobs; #SystemsEngineerjobs ; Start Date: Immediate We provide a competitive ...

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How much do noc engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for noc engineer in Iowa is $37.06, according to ZipRecruiter salary data. Most workers in this role earn between $27.12 and $46.73 per hour, depending on experience, location, and employer.

What is a NOC engineer?

NOC Engineers, or Network Operations Center Engineers, are professionals responsible for monitoring, maintaining, and troubleshooting an organization's network systems and infrastructure. They work in a centralized location known as a Network Operations Center (NOC) where they oversee network performance, detect issues, and respond to incidents to ensure minimal downtime and optimal connectivity. Their duties may include system administration, network security management, and collaborating with other IT teams to resolve complex technical problems.

What does a NOC engineer do?

A NOC engineer, or network operations center engineer, is responsible for resolving issues with servers and networks through constant troubleshooting and support of those networks. As a NOC engineer, you ensure that connectivity remains constant for clients by working in the network management center, resolving any issue that may arise quickly and efficiently. You monitor and control any problems that arise and keep a database of past issues to help with quicker resolutions and software development over time. You solve problems for customers and your company servers using your in-depth knowledge of information technology, including an understanding of malware and security issues.

What are the key skills and qualifications needed to thrive as a NOC engineer, and why are they important?

To thrive as a NOC Engineer, you need a solid understanding of network protocols, troubleshooting, and systems administration, often supported by a degree in IT or a related field. Familiarity with network monitoring tools (like SolarWinds or Nagios), ticketing systems, and certifications such as CompTIA Network+ or Cisco CCNA are typically required. Strong analytical thinking, attention to detail, and effective communication skills help NOC Engineers excel in diagnosing and resolving network issues. These skills are crucial for maintaining network uptime, ensuring rapid incident response, and supporting critical IT infrastructure.

What are some common challenges faced by NOC engineers, and how can they prepare to address them?

NOC Engineers often encounter challenges such as managing high-pressure incidents, quickly identifying and resolving network issues, and effectively communicating with cross-functional teams during outages. Maintaining composure and applying strong troubleshooting skills are essential, especially when addressing critical network disruptions. It's helpful for candidates to familiarize themselves with monitoring tools, escalation procedures, and to develop clear communication habits, as collaboration with engineers, IT support, and management is frequent. Continuous learning and staying updated on network technologies will also help in proactively addressing potential issues.

What is the difference between Noc Engineer vs Network Technician?

AspectNoc EngineerNetwork Technician
CertificationsCCNA, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentNetwork operations centers, monitoring networksField sites, client locations, or data centers
ResponsibilitiesMonitoring, troubleshooting, maintaining network systemsInstalling, configuring, repairing network hardware
Industry UsageTelecom, ISPs, large enterprisesIT service providers, corporate networks

Both roles require similar certifications and work in network environments, but Noc Engineers focus more on monitoring and managing networks in a centralized setting, while Network Technicians handle hands-on hardware installation and repairs. Understanding these differences helps in choosing the right career path or job search focus.

How much do NOC engineers make in the US?

NOC (Network Operations Center) engineers in the US typically earn between $60,000 and $100,000 annually, depending on experience, certifications, and location. Entry-level positions may start around $50,000, while experienced engineers with specialized skills can earn higher salaries, often with opportunities for overtime and shift differentials.

Is a NOC engineer job in demand?

NOC (Network Operations Center) engineers are in demand due to the increasing reliance on network infrastructure and cybersecurity. They typically require skills in network monitoring, troubleshooting, and familiarity with tools like SNMP and network protocols, making them valuable in many organizations seeking reliable network management.

What is the work of a NOC engineer?

A NOC engineer monitors and maintains a company's network infrastructure, including servers, routers, and switches, to ensure optimal performance and security. They troubleshoot network issues, implement upgrades, and use tools like network monitoring software, often working in shifts to provide 24/7 support.
More about Noc Engineer jobs

What are the most commonly searched types of Noc Engineer jobs in Iowa?

The most popular types of Noc Engineer jobs in Iowa are:

What are popular job titles related to Noc Engineer jobs in Iowa?

For Noc Engineer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Noc Engineer jobs in Iowa look for?

The top searched job categories for Noc Engineer jobs in Iowa are:

What cities in Iowa are hiring for Noc Engineer jobs?

Cities in Iowa with the most Noc Engineer job openings:

What are popular job titles related to Noc Engineer jobs in IA?

For Noc Engineer jobs in IA, the most frequently searched job titles are:

Noc Engineer jobs near you
Infographic showing various Noc Engineer job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $77,078 per year, or $37.1 per hour.

Network Engineer, AI Infrastructure Repair

Meta

IA

$193K/yr

Full-time

Re-posted 19 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 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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