Google is seeking a Network Automation Engineer to join their Technical Infrastructure team, focusing on maintaining and automating their global network infrastructure. This role combines network engineering expertise with software development, requiring skills in programming languages like Python and Go, along with deep knowledge of network protocols and systems.
The position offers an opportunity to work on Google's massive-scale network that serves millions of users worldwide. As a Network Automation Engineer, you'll be responsible for developing and maintaining automation frameworks that analyze and troubleshoot global-scale core networks. You'll work on reducing repair times, minimizing human error, and optimizing operational costs through automation.
The role requires a blend of technical skills, including network protocol knowledge, programming abilities, and system design experience. You'll collaborate with software engineering teams to build and maintain repair automation infrastructure, while also providing consultation on requirements and design for network-related applications.
Google offers a competitive compensation package ranging from $132,000 to $189,000, plus bonus, equity, and comprehensive benefits. The position is based in Thornton, CO, and requires 3+ years of relevant experience along with a bachelor's degree in Computer Science, Engineering, or a related field.
This is an excellent opportunity for someone passionate about network engineering and automation who wants to make a direct impact on one of the world's largest and most complex network infrastructures. You'll be part of the team that ensures Google's network remains reliable and efficient, directly affecting millions of users' experience with Google's products and services.
The role combines hands-on technical work with strategic thinking, as you'll need to analyze business processes and create data-driven recommendations for improvement. You'll also work with SQL and various data structures to retrieve and analyze network diagnostic information, making this an ideal position for someone who enjoys both network engineering and data analysis.