Network Automation Engineer Intern Jobs in Ohio (NOW HIRING)

Wells Fargo is back in the office, three days a week collaborating for fabulous outcomes!

This role has no visa sponsorship or visa transfers.

At Wells Fargo, we're redefining enterprise networking for scale, resilience, and automation-and we're looking for a Lead Network Engineer who wants to build what's next, not just maintain what exists.

This is a high-impact role for an engineer who lives at the intersection of network, dev ops and automation, with the ability to influence strategy while still getting hands-on with modern tooling like Python, Ansible, and CI/CD.

You'll take ownership of a forward-looking automation roadmap, shape how network infrastructure is engineered across access environments, and lead initiatives that drive measurable improvements in reliability, security, and operational efficiency. I

• Lead the design and deployment of scalable automation frameworks using Ansible, Python, GitHub Actions, and CI/CD pipelines
• Integrate and extend Nautobot (or similar platforms) as a network source-of-truth and automation engine
• Utilize GitHub Copilot and modern tooling to accelerate development and improve engineering efficiency
• Maintain and execute the network automation roadmap, ensuring timely delivery of strategic initiatives

• Design, review, and guide High-Level and Low-Level Designs (HLD/LLD) for both automated and traditional network solutions
• Lead complex implementations, upgrades, migrations, and configurations across Access and Data Center environments
• Support and engineer on Cisco and Arista platforms (ISR, ASR, Catalyst) and enterprise network ecosystems
• Drive remote end-user network access capabilities and improvements

• Diagnose and resolve complex network issues using diagnostic, simulation, and automation tools
• Monitor performance trends and recommend improvements across hardware and software lifecycle
• Identify gaps in processes and implement automation to meet Service Level Agreements (SLAs)

• Design and implement secure, compliant network solutions aligned with regulatory and enterprise standards
• Assess and manage risk of changes to production systems, ensuring quality and compliance
• Perform secure implementation of network changes through automated pipelines

• Collaborate with cross-functional teams to align network and automation initiatives with business goals
• Lead technical discussions and mentor engineers in both networking and automation best practices
• Provide implementation guidance, including support outside standard business hours when required

• 5+ years of Network Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of Infrastructure Automation experience
• 5+ years of Python scripting and Ansible automation development
• 3+ years of experience with GitHub Actions, GitHub Copilot, CI/CD pipelines
• Strong expertise in:
  • Routing & Switching (BGP, WAN, ISP interconnects)
  • WLAN, MPLS, IPT, DNS/DHCP/IPAM (DDI)
  • SD-WAN control plane and overlay networks
• Experience working with Linux environments
• Proven ability to troubleshoot complex distributed systems

• Experience with Nautobot or similar network automation platforms
• Experience with:
  • Cisco SD-WAN
  • Meraki SD-Branch
• Familiarity with Agile and DevOps methodologies
• Certifications such as:
  • CCNP, CCIE, DevNet, or Data Center certifications
• Experience with automation tools (Ansible, GitHub, CI/CD frameworks)
• Certification or exposure to Automation or Generative AI (GenAI)

• Demonstrate proficiency in using AIassisted development and analysis tools (e.g., GitHub Copilot and approved codecentric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AIassisted outputs into solutions
• Understand and account for model limitations, security risks, and operational considerations
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards