Our Client is immediately seeking an experienced CCNP Network Engineer in support of our enterprise compute customer
Key Responsibilities: CCNP Level:
- Design, configure, and maintain Wireless Access Points and Wireless Controllers
- Design, configure, and maintain enterprise network infrastructure, with a focus on Layer 2/Layer 3 switching technologies
- Develop and implement network automation solutions to streamline provisioning, configuration, and troubleshooting
- Manage and optimize network performance, availability, and security across data center and campus environments
- Automate routine network operations using scripting and orchestration tools
- Collaborate with cross-functional teams to support network integration and deployment efforts
- Troubleshoot complex network issues and perform root cause analysis
- Maintain up-to-date network documentation, diagrams, and operational procedures
- Participate in change management, incident response, and continuous improvement initiatives
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
- 5+ years of network engineering experience
- Deep experience with software architecture, API contract design, and data schema rules
- Hands-on experience with network automation tools
- Experience breaking down complex applications into multi-agent systems (e.g., Coordinator, Implementor, and Verifier tasks)
- Demonstrated proficiency in Python, Ansible, or similar scripting/automation frameworks
- REST APIs and network programmability concepts
- Strong expertise in: Layer 2/Layer 3 switching (VLANs, VRRP, MC-LAG, STP, VTP, PortChannel, and routing protocols such as OSPF/BGP); Network design and troubleshooting in enterprise environments
- Familiarity with major networking platforms (e.g., Dell, Cisco, Arista, Juniper)
- Solid understanding of TCP/IP, DNS, DHCP, and network security fundamentals
- Proficiency in automated verification criteria and mapping code back to core specs during pull requests
- Ability to write precise, unambiguous text instructions (PRDs) that Large Language Models (LLMs) can parse without “vibe coding”
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