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Salary
≈ $103k – $237k per year (Estimated)
Location
In office (Reston)
Seniority
Staff · 10+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Aug 28, 2026.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

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.

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

US: $176000 - $256000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Define the technical roadmap and architecture, balancing immediate operational needs against long-term scalability and reliability.
  • Own end-to-end architectural and design choices.
  • Function as the primary technical point of contact (TL) for partner teams, working with partner teams to align on shared OKRs, technical dependencies, and life-cycle management.
  • 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.

Qualifications

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 with planning and designing networks (e.g., multiple sites, multiple products, etc.).

Preferred qualifications:

  • Experience with network equipment manufacturer or network operator in engineering or design role.
  • Experience in one or more programming languages such as C++, Go, or Python.
  • Experience designing, analyzing and troubleshooting large-scale distributed systems.
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