Integration Engineer, Enterprise Services, Google Cloud

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-impact group, you will bridge the gap between specialized hardware and enterprise software, shaping the future of large-scale distributed computing for the world’s largest organizations.

As an Integration Engineer, you will work directly with Google’s most strategic customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

France: €106000 - €109000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.