Integration Engineer, Enterprise Services, Google Cloud

Job description

Minimum qualifications: - Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. - 6 years of experience in technical solution delivery and project management. - 3 years of experience with AI/ML Infrastructure (e.g., GPUs, GKE, EKS, Kubernetes, Kubeflow). - Experience in delivering production-grade Python code. - Experience using Bash. Preferred qualifications: - Master's degree or PhD in Computer Science, Engineering or a related field. - Experience developing and tuning AI/ML models using frameworks such as JAX, PyTorch, or OpenXLA. - Experience in one or more of the following areas: DevOps, Security, SRE. - Experience in one or more of the following areas: Data Center Infrastructure, Networking, Compute, Storage. - Customer-facing migration experience, including service discovery, assessment, planning, execution, and operations. About the job: The Google Enterprise Services team leads the deployment of the world’s most advanced accelerated computing systems. We help global enterprises architect and implement massive-scale infrastructure across on-premise, hybrid and cloud environments. As an Integration Architect in this high-impa...