AI Cloud Solution Engineer
@ Freudenberg Performance Materials

Hybrid
€70,000
Hybrid
Full Time
Posted 11 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXX***** @freudenberg.com
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About Freudenberg Performance Materials

We will wow your world! Freudenberg Performance Materials is a leading global supplier of innovative technical textiles for diverse markets including automotive, building materials, apparel, energy, and healthcare. With a turnover of approx. 1.6 billion euros, 32 production sites across 14 countries, and over 5,000 employees, our commitment to social and ecological responsibility drives our success.

The Role: AI Cloud Solution Engineer

As an AI Cloud Solution Engineer, you will design and implement AI solutions using machine learning, deep learning, and related technologies while managing and automating cloud infrastructures in Azure and GCP. You will leverage Infrastructure as Code (IaC) tools such as Terraform, Bicep, and Ansible to develop secure and scalable integrations with third-party AI providers. You will build and manage CI/CD pipelines using GitHub Actions or Azure DevOps, oversee identity and access management via Microsoft Entra ID, and collaborate with cross-functional teams to align cloud infrastructure with AI application needs.

  • Design and implement AI solutions using ML and DL.
  • Manage and automate cloud infrastructure in Azure and GCP.
  • Develop infrastructure with IaC tools like Terraform and Ansible.
  • Build CI/CD pipelines and manage deployments.
  • Ensure secure integration and cost optimization of AI services.

Key skills/competency

  • Machine Learning
  • Cloud Infrastructure
  • Azure
  • GCP
  • Terraform
  • Ansible
  • CI/CD
  • Docker
  • Kubernetes
  • Python
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How to Get Hired at Freudenberg Performance Materials

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI and cloud engineering projects.
  • Research Freudenberg Performance Materials: Understand their global impact and values.
  • Emphasize relevant skills: Showcase expertise in Azure, GCP, and IaC.
  • Prepare for technical interviews: Brush up on machine learning, cloud, and DevOps practices.

📝 Interview Preparation Advice

Technical Preparation

Review Azure and GCP services documentation.
Practice Terraform, Bicep, and Ansible scripts.
Brush up on Docker and Kubernetes fundamentals.
Study CI/CD pipeline creation with GitHub Actions.

Behavioral Questions

Describe a time you solved a cloud issue.
Explain teamwork during a project challenge.
Share how you manage technical project stress.
Discuss handling unexpected technical failures.

Frequently Asked Questions