Staff Network Engineer, Google Enterprise Network

Apigee; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Apigee seeks an experienced network architect to join its global infrastructure team in the United States. The role requires a strong background in routing protocols, large-scale data center network design, and hands-on experience with VXLAN, BGP EVPN, and multi-tenant environments.

Proficiency in C++, Go, or Python is essential for automation and tooling. Ideal candidates will have a decade of routing and troubleshooting expertise across enterprise DCs, with global operations exposure and

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years experience with network routing protocols and troubleshooting with network equipment providers.
• Programming in C++, Go, or Python.
• Experience with VXLAN, BGP EVPN, MC-LAG, Encryption, key management, zone-based network segmentation, multi-tenant environment.
• Experience in enterprise Data Center network design and operations in a global environment.

Skills

Routing protocols

C++

Go

Python

VXLAN

BGP EVPN

MC-LAG

Encryption

Key management

Network segmentation

Multi-tenant environment

Enterprise DC design

Education

Bachelor's degree or equivalent practical experience

CCIE/CCDE/PCNSE certifications

Job description

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  
• 10 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
  
• Experience in one or more programming languages such as C++, Go, or Python.
  
• Experience in networking technologies/protocols: VXLAN, BGP EVPN, MC-LAG, Encryption, key management, zone based network segmentation, multi-tenant environment.
• Experience with the enterprise Data Center network design and operations in a global environment.

Preferred qualifications:

• CCIE/CCDE/PCNSE certifications.
• Experience with planning and designing large scale networks (e.g., multiple sites, multiple products, etc.)
  
• Familiarity with leveraging AI tools to enable network feature development velocity and accelerate daily workflow.