Senior Networking Engineer, WBB Platform, GGN WANForms

Minimum qualifications

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
• 6 years of experience designing, building, and operating Wi-Fi networks.
• Experience with 2 or more of the following technologies/protocols: 802.1X, 802.11, unlicensed Radio Frequency planning (2.4 and 5GHz), TCP/UDP/IP.

Preferred qualifications

• Certifications or equivalent level experience (CCIE/CCDE/JNCIE).
• Experience with network equipment manufacturer or network operator in engineering or design roles.
• Experience using and automating test equipment and infrastructure.
• Experience working in a multi-vendor environment.
• Strong knowledge of network technologies/protocols: Routing Protocols, VXLAN, BGP EVPN, 802.1x, LACP, MacSec, TCP/IP, Encryption, Key management, Micro segmentation, ACL, Cloud technologies.
• Systematic problem-solving approach, coupled with strong collaboration and communication skills and a sense of ownership and drive.

About the job

Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly.

You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies.

Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.

As a WAN Building Block (WBB) Platform, Google Global Networking (GGN) WANForms Network Engineer, you'll be responsible for defining and qualifying platforms and solutions for scaling Google’s network infrastructure. You will collaborate with Google partner teams to analyze technical requirements of future networking infrastructure programs and proactively develop solutions and policy recommendations.

You will understand, and evaluate routing vendor platform roadmaps in the context of Google requirements and long-term direction. Your work will also involve designing lab topologies, developing, automating and executing test plans to qualify the routing platforms deployed in the Google network. You will work closely with design, build and operations teams.

You will review defects related to both hardware and software to understand their impact on the network, integrate fixes from vendor and incorporate gaps in testing.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

• Develop and execute extensive platform test plans to ensure no systematic hardware or software quality issues are discovered in production.
• Leverage AI tools to amplify your engineering efficiency, writing software and automating lab infrastructure (e.g., using Ondatra) to qualify and introduce new products.
• Engage with external vendors and internal teams to operationalize stable, scalable platforms.
• Develop tools and processes for automation of network management and operations.