Network Automation Engineer, Optical Networking

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Job Overview

The Network Automation Engineer, Optical Networking at Google will be instrumental in enhancing the efficiency and reliability of our optical networking systems. This role requires an expert who is proficient in developing, implementing, and optimizing automation solutions that streamline network operations. The successful candidate will work closely with cross-functional teams to identify areas for improvement, design automation tools, and ensure optimal network performance, scalability, and security.

Job Responsibilities

• Develop and implement automation solutions for optical networking systems to enhance operational efficiency.
• Collaborate with network engineers and software developers to design and maintain automation frameworks.
• Create scripts and tools for monitoring, testing, and troubleshooting optical networks.
• Optimize network configurations and performance through data analysis and automation strategies.
• Integrate network management tools with automation systems to provide real-time monitoring and alerts.
• Document processes, workflows, and best practices for network automation.
• Stay updated with advancements in optical networking technologies and automation tools.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; a Master's degree is preferred.
• 5+ years of experience in network engineering, with a focus on automation in optical networks.
• Proficiency in programming languages such as Python, Go, or Java.
• Strong knowledge of networking protocols (e.g., MPLS, BGP, OSPF) and optical network technologies.
• Experience with network automation tools such as Ansible, Puppet, or similar frameworks.
• Familiarity with cloud technologies and infrastructure as code (IaC) practices.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Technologies & Tools

The Network Automation Engineer will utilize a variety of advanced technologies and tools to achieve optimal network performance. Key technologies used in this role may include optical networking equipment, automation frameworks like Ansible and Terraform, programming languages such as Python or Go, as well as network monitoring tools like Nagios and Grafana. Familiarity with cloud services such as AWS or Google Cloud Platform will also be advantageous.

Ideal Candidates

Ideal candidates for this position will exhibit a strong technical acumen coupled with the ability to think critically and innovate solutions. They will possess strong communication skills to facilitate collaboration across diverse teams and demonstrate a proactive approach to problem-solving. Adaptability and a continuous learning mindset towards emerging technologies in optical networking are essential characteristics that will contribute to their success in this role. A passion for automation and an understanding of the intricacies of networking systems will further delineate the ideal candidate.