AI Infrastructure Tools Engineer
23 hours ago
- The AI Infrastructure Tools Engineer will be responsible for driving tools effort required to provide high uptime and service availability of AI Infrastructure at Cerebras.
- Architect, design, and develop framework and tools for monitoring, operations, and maintenance of AI Infrastructure.
- Collaborate with Cluster Deployment, Network Operations, and Cluster Operations teams to understand their needs and ensure tools meet their requirements.
- Identify areas for improvement and implement new tools or technologies to enhance AI infrastructure efficiency, reliability, and security.
- Use AI to analyze data and identify trends, patterns, and anomalies.
- Develop User Interface (UI), reporting, analytics, visualizations, and dashboards consumable by engineers, leadership, and customers.
- Bachelor's degree or higher in Electrical Engineering, Computer Engineering or Computer Science.
- 10 years of experience designing and building infrastructure tools.
- Must be proficient in python development, and or Golang.
- Expertise with cloud platforms like AWS, Azure, or Google Cloud.
- Manage tooling infrastructure using code, enabling repeatable and consistent deployments.
- Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
- Expertise in setting up and maintain monitoring and logging systems
- Experience with network monitoring and analytics tools like Prometheus, Grafana; and familiarity with GNMI, OpenConfig, OpenTelemetry, or New Relic.
- Experience building dashboards and analytics. Understanding of UX/UI design techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
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