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Network Operations Manager Jobs in Magnolia, TX (NOW HIRING)

Harris Health System

Sr Operations Manager - ACS

Houston, TX · On-site

$97K - $126K/yr

  • Retirement

Johnson Hospital (Level 3 Trauma Center) anchor Harris Health's robust network of 39 clinics ... operational management experience of a service line. If Masters degree is held, two (2) years of ...

KIPP

School Operations Manager (26-27)

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We are a network of 278 schools with nearly 16,500 educators and 190,000 students and alumni ... Manages the day-to-day school based operations policies and procedures. • Implements daily school ...

KIPP

School Operations Manager (26-27)

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We are a network of 278 schools with nearly 16,500 educators and 190,000 students and alumni ... Manages the day-to-day school based operations policies and procedures. Implements daily school ...

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REGIONAL OPERATIONS & LOGISTICS MANAGER (HYBRID)

Houston, TX · On-site

$80K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Transportation strategy -- Define and execute the network's transportation strategy across modes and lanes. * Carrier relations management -- Own carrier relationships, including selection ...

Robert Half

IT Manager

Houston, TX · On-site

$110K - $130K/yr

Oversee network operations and connectivity by managing Cisco-based environments and resolving performance or availability issues. * Develop and maintain backup and recovery strategies to protect ...

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Network Operations Manager information

See Magnolia, TX salary details

$18.8K

$87K

$125.4K

How much do network operations manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for network operations manager in Magnolia, TX is $87,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $97,600.00 per year, depending on experience, location, and employer.

What is a network operations manager?

Network Operations Managers are professionals responsible for overseeing the day-to-day operations, maintenance, and performance of an organization's computer networks. They manage teams of network engineers and technicians, ensure network reliability and security, and handle incidents or outages. Their role includes planning for future network needs, implementing upgrades, and ensuring compliance with industry standards. They also coordinate with other departments to align network services with business goals.

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

To excel as a Network Operations Manager, you need a solid background in network administration, troubleshooting, and IT management, typically backed by a relevant degree and experience in network operations. Familiarity with network monitoring tools (such as SolarWinds or Nagios), ITIL frameworks, and certifications like CCNP or CompTIA Network+ are commonly required. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills for managing teams and responding to network issues. These competencies are essential to ensure network reliability, minimize downtime, and drive operational efficiency in business-critical environments.

What are some common challenges faced by network operations managers, and how can they be effectively addressed?

Network Operations Managers often encounter challenges such as minimizing network downtime, managing multiple priorities, and ensuring rapid response to incidents. Balancing proactive maintenance with reactive troubleshooting requires strong organizational skills and close collaboration with IT teams, vendors, and sometimes clients. Effective communication, implementing robust monitoring tools, and fostering a culture of continuous improvement can help address these challenges and maintain network reliability.

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

AspectNetwork Operations ManagerNetwork Engineer
CredentialsTypically requires a bachelor's degree in IT or related field, with certifications like Cisco CCNA, CCNP, or CompTIA Network+Requires similar certifications such as Cisco CCNA, CCNP, or CompTIA Network+; often more technical focus
Work EnvironmentOversees network teams, manages operations, and ensures network reliability in enterprise settingsDesigns, implements, and troubleshoots network infrastructure, often working hands-on with hardware and software
Employer & Industry UsageCommonly employed by large corporations, service providers, and government agenciesFound in various industries, including IT firms, telecom, and corporate IT departments

The main difference is that Network Operations Managers focus on overseeing network performance, managing teams, and strategic planning, while Network Engineers are more involved in the technical design, implementation, and troubleshooting of network systems. Both roles require similar certifications and work environments but differ in scope and responsibilities.

What are popular job titles related to Network Operations Manager jobs in Magnolia, TX?

For Network Operations Manager jobs in Magnolia, TX, the most frequently searched job titles are:

What job categories do people searching Network Operations Manager jobs in Magnolia, TX look for?

The top searched job categories for Network Operations Manager jobs in Magnolia, TX are:

What cities near Magnolia, TX are hiring for Network Operations Manager jobs?

Cities near Magnolia, TX with the most Network Operations Manager job openings:

Network Operations Manager jobs near you
Infographic showing various Network Operations Manager job openings in Magnolia, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $87,023 per year, or $41.8 per hour.

Network Engineer, AI Infrastructure Repair

Meta

Houston, TX

$193K/yr

Full-time

Re-posted 13 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 244 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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