Customer Engineer, Infrastructure Modernization...
@ Google

Munich, Bavaria, Germany
$200,000
On Site
Full Time
Posted 15 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXX XXXXXXX******* @google.com
Recommended after applying

Job Details

Overview

This role at Google involves supporting customers by designing, deploying, and optimizing modern cloud infrastructure for AI applications. Candidates must have 10 years experience in cloud native architectures and experience presenting to technical and executive stakeholders.

Responsibilities

  • Advise top customers on integrating AI accelerators into cloud strategies.
  • Design and prototype large-scale training and inferencing platforms.
  • Collaborate with sales teams to close technical agreements.
  • Engage in hands-on deployments in customer data centers.
  • Advocate for customer requirements with internal engineering teams.

Qualifications

Minimum requirements include a Bachelor’s degree (or equivalent) and 10 years of relevant experience. Hands on experience with high performance infrastructure technology, container orchestration (e.g., Kubernetes), and networking is essential. Preferred qualifications include a Master’s degree, experience in IT infrastructure consultancy, and deep understanding of AI hardware and software stacks.

Key Skills/Competency

  • Cloud native
  • Infrastructure
  • AI/ML
  • Customer engagement
  • Data centers
  • Networking
  • Kubernetes
  • Virtualization
  • Prototyping
  • Technical consulting

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Research Google: Understand its cloud innovations and culture.
  • Customize resume: Highlight AI and cloud infrastructure expertise.
  • Practice demos: Prepare presentations for technical stakeholders.
  • Showcase projects: Emphasize hands-on cloud and AI deployments.

📝 Interview Preparation Advice

Technical Preparation

Review cloud native architecture concepts.
Practice Kubernetes and container orchestration.
Study high performance networking setups.
Refresh virtualization and hardware deployment skills.

Behavioral Questions

Describe a challenging customer engagement.
Explain conflict resolution in technical teams.
Discuss handling high-pressure project deadlines.
Share experiences collaborating across departments.

Frequently Asked Questions