GCP Cloud Engineer

Ford

Full-time - Mid Level

Transportation Equipment Manufacturing

About the position

As a GCP Cloud Engineer at Ford, you will play a critical role in enhancing and simplifying the company's complex global infrastructure across Google Cloud Platform (GCP) and on-premises data centers. This position involves designing, building, and maintaining cloud-native infrastructure to support applications and services, while collaborating with various teams to integrate GCP services into the overall IT architecture. You will be responsible for monitoring and optimizing GCP resources, troubleshooting issues, and ensuring best practices in cloud deployment and management.

Responsibilities

• Work with Technology and Software Platform teams to provide solutions for cloud infrastructure across the Ford Enterprise.
• Define, analyze, assemble, and integrate components to deliver infrastructure patterns for the business.
• Design, build, and maintain GCP infrastructure to support applications and services.
• Collaborate with other teams to integrate GCP services into the overall IT architecture.
• Stay current with GCP technologies and best practices, providing recommendations for continuous improvement.
• Develop, advise, and document GCP infrastructure and deployment processes.
• Design and develop high performance, scalable, and secure cloud-native applications on GCP.
• Monitor and optimize the performance of GCP resources.
• Troubleshoot and resolve issues related to GCP infrastructure and services.
• Support the development of technical design and documentation.

Requirements

• Bachelor's Degree in Computer Science, Computer Engineering, or a related field.
• 7 years of experience in IT or Technology-related disciplines with progressively increasing responsibility.
• 5+ years of experience working with cloud-native GCP and hybrid cloud environments.
• 3+ years of hands-on experience in scripting and automation using Python, Bash, or similar languages.
• 2+ years of experience with infrastructure as code tools such as Terraform or Deployment Manager.

Nice-to-haves

• Advanced Degree in Computer Science, Computer Engineering, or a related field.
• Strong understanding of GCP services, including Containers, Cloud Run, Compute Engine, Kubernetes Engine, BigQuery, and Cloud Storage.
• Experience in building big data solutions, ensuring security and compliance of the GCP environment.
• Experience working on Serverless design and implementing Container As A Service (CaaS).
• Experience in building CI/CD pipelines using CI/CD methodologies leveraging Jenkins, containers, Kubernetes.

Benefits

• Immediate medical, dental, and prescription drug coverage
• Generous PTO
• Retirement and savings plans
• Incentive compensation
• Tuition assistance
• Vehicle discount program