GCP Cloud Engineer

Ford - Little Rock, AR

Full-time - Mid Level

Little Rock, AR

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 applications and infrastructure, collaborating with various teams to integrate GCP services, and ensuring optimal performance and security of cloud resources. You will have the opportunity to leverage your IT expertise and analytical skills to redefine the transportation landscape and improve customer experiences.

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 and troubleshoot issues as needed.
• Support the development of technical design and documentation.
• Maintain open channels of communication by providing relevant information and technical expertise.

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' 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 and 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, etc.
• Google Cloud Platform certification is a plus.

Benefits

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