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Overtime Network Automation Engineer Jobs in Texas

Glow Networks

Network Automation Engineer

Dallas, TX · On-site

Network Automation Engineer Location: Denver, CO (Onsite) Duration: 10 Months # Skills Compliance 1 Excellent understanding of routing and switching protocols, network architecture, TCP/IP, and OSI ...

Judge Group, Inc.

Network Automation Engineer

Irving, TX · On-site

$65 - $72/hr

Overview Our client is seeking a senior-level Network Automation Engineer to join a team focused on transforming enterprise network security operations through automation. This is a highly technical ...

MM International

Senior Network Automation Engineer

Plano, TX · On-site

$99K - $136K/yr

Senior Network Automation Engineer Work Mode : Onsite 4 days per week in Plano, TX / Overland Park KS, Travel: less than 25% Interview Mode : 1st MS Team, Final F2F at work Location (Either TX or KS ...

GTN Technical Staffing

Be Seen First

Senior Network Automation Engineer

Dallas, TX · On-site

$150K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Network Automation Engineer Location: Dallas, TX | Hybrid Type: Direct Hire Relocation: Available for non-local candidates Compensation Competitive base salary + performance bonus 100% company ...

Apex Systems

Network Automation Engineer

Round Rock, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3045803 We are seeking a skilled Network Engineer with strong expertise in network automation and Layer 2/Layer 3 switching for on-site support. The ideal candidate will be responsible for ...

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Overtime Network Automation Engineer information

What are the key skills and qualifications needed to thrive as an overtime network automation engineer?

To thrive as an Overtime Network Automation Engineer, you need strong knowledge of networking protocols, scripting languages like Python, and experience with automation frameworks, typically supported by a degree in computer science or a related field. Familiarity with tools such as Ansible, Cisco DNA Center, and network monitoring systems, along with certifications like CCNA or DevNet, is highly valued. Excellent problem-solving skills, attention to detail, and the ability to collaborate effectively are key soft skills for this role. These competencies are critical for streamlining network operations, reducing manual errors, and ensuring reliable and scalable network performance.

How does an overtime network automation engineer typically collaborate with other IT teams during large-scale network upgrades?

As an Overtime Network Automation Engineer, you’ll work closely with network operations, security, and infrastructure teams, especially during high-impact projects like network upgrades. Your main role is to automate deployment, configuration, and testing processes, which requires regular coordination to ensure automation scripts align with the organization's requirements and compliance standards. Effective communication and documentation are essential, as you’ll often troubleshoot issues alongside other engineers during overnight or off-peak maintenance windows. This collaborative environment helps streamline complex upgrades while minimizing downtime and service disruptions.

What is the difference between Overtime Network Automation Engineer vs Network Engineer?

AspectOvertime Network Automation EngineerNetwork Engineer
CertificationsCCNA, CCNP, Cisco DevNetCCNA, CCNP, CompTIA Network+
Work EnvironmentAutomation-focused, scripting, network management toolsNetwork setup, troubleshooting, hardware and software configuration
Industry UsageTelecommunications, large enterprise networks, service providersIT departments, corporate networks, service providers

The Overtime Network Automation Engineer specializes in automating network processes using scripting and automation tools, focusing on efficiency and scalability. In contrast, a Network Engineer primarily handles network setup, maintenance, and troubleshooting. While both roles require similar certifications and work in related environments, their core responsibilities differ, with the automation engineer emphasizing scripting and automation solutions.

What does an overtime network automation engineer do?

An Overtime Network Automation Engineer is responsible for designing, implementing, and maintaining automated solutions to manage and optimize network operations, often in environments that require after-hours or extended support. They use programming and scripting to automate routine network tasks, monitor network performance, and troubleshoot issues efficiently. Their work helps reduce manual intervention, minimizes downtime, and ensures that network systems operate smoothly even outside of regular business hours.
What are popular job titles related to Overtime Network Automation Engineer jobs in Texas? For Overtime Network Automation Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Overtime Network Automation Engineer jobs in Texas look for? The top searched job categories for Overtime Network Automation Engineer jobs in Texas are:
What cities in Texas are hiring for Overtime Network Automation Engineer jobs? Cities in Texas with the most Overtime Network Automation Engineer job openings:
Overtime Network Automation Engineer jobs near you
Infographic showing various Overtime Network Automation Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Network Automation Engineer

Motion Recruitment Partners, LLC

Irving, TX • On-site

Other

Posted 10 days ago

Job description

Our client is seeking a Network Automation Engineer for a 12+ month contract opportunity supporting large-scale data center and distributed network automation initiatives. This role will focus on building and scaling "network as code" capabilities across hyperscale cloud and enterprise network environments, using Python, APIs, AWS/Azure networking, Kafka-driven event streams, Cisco/Meraki platforms, and network automation tooling to automate delivery, configuration, drift remediation, and production rollout across complex infrastructure.
This is a high-impact opportunity for an engineer who wants to work on automation at serious scale: thousands of data center racks, distributed workforce and retail access environments, and cloud-integrated network operations. The team is looking for strong Python engineers who can move fast, build clean automation workflows, test safely in lab environments, and help create a reliable orchestration layer for network provisioning, remediation, and change management. This is a chance to help shape how network infrastructure is deployed, validated, monitored, and remediated through modern software engineering practices.
Contract Duration: 12+ Months W2
Location,: Irving TX Hybrid (3 days onsite per week)
Required Skills & Experience
  • Strong hands-on Python development experience, ideally building automation, orchestration, or workflow-driven platforms
  • Experience with network automation and infrastructure-as-code / network-as-code concepts
  • Background automating delivery and management of large-scale data center networks
  • Experience building or supporting API-driven automation for infrastructure, network devices, or cloud services
  • Familiarity with AWS environments, cloud networking concepts, and automation inside cloud-based ecosystems
  • Experience with event-driven systems, preferably Kafka or similar streaming/event platforms
  • Ability to build workflows for configuration management, provisioning, upgrades, drift detection, and remediation
  • Understanding of network primitives such as IP addresses, device state, configuration actions, access controls, and telemetry
  • Ability to work in a fast-moving engineering environment with rapid iteration, testing, and deployment expectations
  • Strong troubleshooting skills and ability to safely automate changes across large, complex environments
Desired Skills & Experience
  • Experience with Temporo or similar Python workflow/orchestration engines
  • Familiarity with Notobot or other network automation platforms
  • Experience integrating automation tooling with Kafka event streams for closed-loop remediation
  • Hands-on experience with Cisco and/or Meraki environments
  • Experience using a lab-as-a-service or validation environment to test automation workflows before production rollout
  • Exposure to Meraki portal workflows, production promotion processes, rollback processes, or kill-switch style change controls
  • Experience with Microsoft Azure or other hyperscale cloud environments
  • Experience building endpoint or device agents for telemetry collection, state assessment, or readiness checks
  • Background supporting distributed enterprise environments, including retail store access, workforce access, or multi-site network operations
  • Prior experience working on core engineering teams supporting high-scale network automation or infrastructure modernization
    • What You Will Be Doing
      This engineer will help design, build, and deploy automation workflows that simplify and scale the management of large integrated data center networks and distributed access environments. The role will focus on developing Python-based automation that treats network infrastructure as code, enabling atomic actions to be called through APIs, integrated with cloud environments, and safely promoted from lab validation into production.
      You will work on automation workflows that support provisioning, configuration, upgrades, drift detection, drift remediation, and end-to-end orchestration. This includes connecting event streams, network automation platforms, and workflow engines to create a closed-loop model where issues can be detected, validated, remediated, and rolled out safely at scale.
      You will also support testing and validation of automation in Cisco-based lab environments, help promote validated workflows into production portals, and contribute to rollback or kill-switch capabilities that reduce risk during large-scale deployment. The team is moving quickly, so the right candidate should be comfortable building, testing, iterating, and deploying automation in a highly collaborative engineering environment.

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