Customer Engineer, Infrastructure Modernization...
@ Google

Berlin, Berlin, Germany
$150,000
On Site
Full Time
Posted 1 day ago

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Job Details

Overview

The Customer Engineer, Infrastructure Modernization for AI at Google works with top customers to integrate AI accelerators into cloud and IT strategies. The role involves designing large-scale training and inferencing platforms and guiding customers through technical deployments in on-premise data centers and cloud environments.

Minimum Qualifications

  • Bachelor's degree or equivalent experience.
  • 10 years experience with cloud native architectures and modern cloud infrastructure.
  • Experience presenting to technical and executive stakeholders.
  • Experience with high performance infrastructure, virtualization, and containerization platforms like Slurm and Kubernetes.
  • Networking experience with ethernet/RoCE/Infiniband.

Preferred Qualifications

  • Master's degree in Computer Science, Mathematics, or related field.
  • Experience as an IT infrastructure consultant or enterprise architect.
  • Expertise in AI Infrastructure systems, networking technologies, cooling, and accelerators.
  • Competence in AI hardware/software stacks and large-scale AI compute clusters.
  • Strong understanding of the AI infrastructure market and trends.

About the Job

This role supports Google Cloud sales teams by assisting with POCs, technical demonstrations and integration of Google Cloud’s AI/ML accelerators (TPU/GPU). You will work on server, networking, and cluster deployments at customer sites, including hands-on involvement during data center bring-up phases.

Responsibilities

  • Advise top customers on integrating AI accelerators into their IT strategy.
  • Demonstrate Google Cloud differentiation through practical POCs and performance optimization.
  • Collaborate with customers and partners in on-premise or hybrid environments.
  • Influence Google Cloud's infrastructure and AI/ML strategy through customer feedback.
  • Travel to customer sites, conferences, and data centers as required.

Key skills/competency

  • Cloud Native
  • Infrastructure
  • AI Accelerators
  • Networking
  • Virtualization
  • Containerization
  • Data Centers
  • Technical Advisory
  • Customer Engagement
  • Enterprise Architecture
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experience with cloud and AI keywords.
  • Showcase projects: Highlight POCs and deployment successes.
  • Research Google Cloud: Understand products and recent innovations.
  • Prepare for technical interviews: Practice high performance infrastructure scenarios.
  • Network: Connect on LinkedIn with current Google Cloud engineers.

📝 Interview Preparation Advice

Technical Preparation

Review cloud native architecture fundamentals.
Practice Kubernetes and container orchestration configurations.
Study high performance networking protocols.
Explore virtualization and server deployment technologies.

Behavioral Questions

Describe a challenging technical project.
Explain a time with difficult stakeholder communication.
Discuss pressure management during on-site deployments.
Share examples of teamwork in technical scenarios.

Frequently Asked Questions