Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Google

Senior Network Engineer, Google Enterprise Network

Google

Published 16 May 2026
Sunnyvale, CA, USA
150K - 218K USD Annual
Full Time
27500 - 275000 people

Share this job

Role Highlights

Languages used

C++
GO
Python

Key skills

Computer Science
Routing
TroubleShooting
Operations
Stream
Infrastructure
Reliability
Cloud
Data
Research
Deployment
Optimization
Automation
Security

Tools, Libraries and Frameworks

Vertex AI
GCP

Description

The role involves operating and maintaining a large-scale network to ensure reliable service for global users. Responsibilities include designing network features, monitoring performance, and coordinating maintenance activities. The position requires addressing connectivity issues and adjusting hardware components to keep systems running efficiently. Additionally, the role focuses on developing enterprise network infrastructure through engineering design and documentation. Team members collaborate to analyze requirements and implement solutions that improve system reliability and velocity.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in Computer Science, Engineering, or a related field, or have equivalent practical experience. A minimum of 6 years of experience in network routing protocols, design, and troubleshooting with network equipment providers is required. Applicants should demonstrate experience in planning and designing large-scale networks. Proficiency in English is also a requirement for the role.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

Share

Share this job

Related jobs

Vertex AI
Computer Science
Integrations
Test Engineer
Taipei, Taiwan
Full Time
Vertex AI
Computer Science
UX
Product Design
Thailand
Remote
AI
NLP
Information Retrieval
NLU
Zurich, Switzerland
Full Time