Lead Network Automation EngineerThis role has no visa sponsorship or visa transfers.
This is not a traditional network engineering role—and not a pure DevOps position. We’re looking for engineers who understand network protocols deeply and write code to automate infrastructure—people who are as comfortable with BGP and OSPF as they are with Python, APIs, and infrastructure as code. This role is built for those who don’t just configure networks, but automate and evolve them at scale. If your experience is limited to networking without automation, or DevOps work without hands-on network protocol depth, this role will not be the right fit.
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
Automation & Engineering Leadership- 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
Network Design & Operations- 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
Troubleshooting & Reliability- 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)
Security, Risk & Compliance- 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
Collaboration & Strategy- 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
Required Qualifications:- 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
Desired Qualifications:- 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)
Job Expectations:- Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents)
- Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
- Apply strong technical judgment when validating and integrating AI‑assisted 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
