Network Engineer III, Data Center Management

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  
• 3 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.
  

Preferred qualifications:

• 5 years of experience with a service provider or hyperscale network in engineering or design roles.
• Experience in designing, analyzing and troubleshooting large-scale distributed systems.
• Experience with Access Control List (ACLs), stateful firewalls and Network Address Translation (NAT).
• Experience with routers and switches.
• Ability to coordinate with cross-functional teams to gather requirements and deliver solutions based on those needs.
• Excellent problem-solving approach, communication skills, and a degree 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.

In this role, you will focus on developing new networks related to industrial control systems monitoring in Google scale data centers. You will be working closely with partner teams which manage industrial control systems. You will ingest the business requirements and convert those requirements into networking requirements and will design network based on the requirements. You will have to understand the life cycle of the product and work with various workflows to accommodate different life cycles of the product.

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 force 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.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design data center management networks and act as Site Reliability Engineering (SRE) for set of networks.
• Engage in and improve the whole life-cycle of networks from inception and design, to qualification and validation, through deployment, operation and optimization.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Work with other team members and groups to analyze requirements or potential problems and proactively develop solutions and policy recommendations.
• Partner with Google’s internal application groups and design network infrastructure which meets their networking requirements.