Network Observability Engineer

As a Network Observability Engineer at Cerebras Systems, your core responsibilities include designing and implementing a network observability platform for real-time visibility into network performance and configuration, developing analytics and monitoring tools, and maintaining alerting systems for timely issue resolution. Collaboration with operations teams to troubleshoot complex network issues and creating network automation tools are also key aspects of the role.

To qualify for the Network Observability Engineer position at Cerebras Systems, applicants should hold a Bachelor’s degree in fields like Electrical Engineering, Computer Engineering, or Computer Science. Additionally, having over 10 years of experience in networking engineering or technical support roles, along with expertise in networking protocols like TCP/IP and BGP, is essential. Proficiency in Python and familiarity with monitoring tools such as Prometheus and Grafana are also required.

A successful Network Observability Engineer at Cerebras Systems should possess strong analytical and problem-solving skills along with excellent communication and collaboration abilities. Deep knowledge of networking protocols, experience with network monitoring and analytics tools, and proficiency in automation scripting with Python are crucial for ensuring network reliability and performance.

The role of Network Observability Engineer at Cerebras Systems is pivotal in ensuring optimal network performance. By designing a robust observability platform and implementing monitoring tools, you will provide real-time insights into network issues while identifying patterns for potential improvements. This directly contributes to enhancing the overall reliability and performance of network operations.

Working as a Network Observability Engineer at Cerebras Systems offers numerous benefits, including the opportunity to be part of a groundbreaking AI technology company, a supportive work environment that fosters growth and learning, and the stability of a dynamic organization. Moreover, you’ll have the chance to work collaboratively on innovative projects that push the boundaries of AI and networking.

When discussing your experience with network monitoring and analytics tools during an interview, highlight specific tools you've used, such as Prometheus or Grafana. Describe how you’ve applied these tools in real-time monitoring scenarios, as well as any challenges you've faced and how you overcame them. This demonstrates not only your technical skills but also your problem-solving abilities.

In your response, mention key networking protocols such as TCP/IP, BGP, or ECMP that you have experience with. Provide examples of projects or challenges where your understanding of these protocols significantly contributed to achieving project goals or resolving complex issues, showing your hands-on application of theoretical knowledge.

In answering this question, select a specific instance that showcases your analytical skills and technical know-how. Explain the problem, the steps you took to diagnose and resolve the issue, and the outcome. Not only does this illustrate your problem-solving capability but also your perseverance and ability to work under pressure.

You should explain your approach, which might include implementing monitoring tools, setting alerts for anomalies, conducting regular analysis of network data, and developing best practices. Discuss how you prioritize proactive measures and continuous performance monitoring to maintain network reliability.

In your answer, share specific examples of automation scripts you’ve developed using Python or other tools. Discuss how these scripts helped reduce manual tasks, increase efficiency, and minimize errors in network configuration or monitoring, demonstrating your ability to innovate and improve processes.

Share your strategies for continuing education, such as following industry publications, attending webinars or conferences, and participating in networking groups or online forums. Highlighting your commitment to staying informed shows your dedication to professional development.

Reiterate the importance of documentation in ensuring effective collaboration and knowledge sharing. Explain how maintaining thorough documentation of processes, tools, and configurations supports troubleshooting and serves as a valuable resource for team members.

Emphasize your collaborative experiences, whether through cross-department projects or on-call rotations. Provide examples where teamwork led to successful project outcomes or innovative solutions, showcasing your ability to work well with others and communicate effectively.

Discuss the impact of emerging technologies such as automation, AI, or cloud-based solutions on network engineering. Share your perspective on both opportunities and challenges these changes present, demonstrating your awareness of industry trends.

When answering this question, express your enthusiasm for the role and the innovative work Cerebras is doing in the AI space. Highlight how your skills and values align with the company’s mission and culture, and what you hope to contribute to such a forward-thinking team.