Why this role stands out
This role offers a fantastic opportunity to deepen your expertise in cutting-edge network security and infrastructure with a leading AI tech company. You'll thrive here if you possess strong experience with Palo Alto Networks, routing/switching, and wireless technologies, and are eager to contribute to a dynamic team. Apply now to advance your career in a stimulating environment!
Quick overview
Job description
Job title: Network Engineer, Corporate & Datacenter
Location: Hybrid @ Palo Alto, CA
Duration: 6+ months contract
*** Must be a local resource & willing to attend in-person interview ***
Required Qualifications
- 4–6 years of hands-on enterprise network engineering experience.
- Proficiency with Palo Alto Networks NGFWs and Panorama; experience with security policy management, zone-based segmentation, and GlobalProtect VPN.
- Solid understanding of routing and switching fundamentals: BGP, OSPF, STP/RSTP, VLANs, LACP, and L2/L3 design.
- Experience designing and supporting enterprise wireless networks (Cisco Meraki, Aruba, or equivalent); familiarity with 802.11ax/Wi-Fi 6 and RF optimization.
- Working knowledge of datacenter networking concepts: spine-leaf, VxLAN/EVPN, and high- availability failover.
- Strong troubleshooting methodology—comfortable working through complex multi-layer problems in production environments.
- Effective written and verbal communication; able to produce clear runbooks and incident postmortems.
Preferred Qualifications
- Relevant certifications: PCNSE (Palo Alto Networks), CCNP Enterprise, CWNA/CWSP, or equivalent.
- Experience with network automation using Python, Ansible, or Terraform.
- Familiarity with public cloud networking (AWS, Azure, or Google Cloud Platform) as it intersects with on-premises connectivity (Direct Connect, ExpressRoute, VPN).
- Exposure to load balancers (F5, AVI/NSX ALB, NGINX) and application delivery in datacenter environments.
- Experience with 802.1X / NAC platforms (Cisco ISE, Aruba ClearPass, or equivalent).
- Comfort using AI tools (e.g., Claude, Copilot) for network operations, documentation, and automation tasks is a plus and actively encouraged.
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