AI Infrastructure Tools Engineer

Cerebras Systems • Bengaluru, Karnataka, India • 2d ago

Responsibilities

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.

Skills & Qualifications

Bachelor’s degree or higher in Electrical Engineering, Computer Engineering or Computer Science.
5+ 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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