Act as a first responder for AI workload health and customer-facing issues. Build and support capabilities for managing ML workloads.

Influence architecture, standards, and operational methods for AI services.

Develop advanced monitoring and alerting to improve GCE visibility.

Collaborate with development teams on novel, emerging technologies.

Bridge the gap between the infrastructure and AI.

Bachelor's degree or equivalent practical experience.

5 years of experience working on cloud distributed systems that demand scalability, reliability, throughput and low latency.

3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).

2 years of experience with debugging and troubleshooting software issues.