Ford - Santa Fe, NM

posted 14 days ago

Full-time - Mid Level
Onsite - Santa Fe, NM
Transportation Equipment Manufacturing

About the position

As a GCP Cloud Engineer at Ford Motor Company, you will play a critical role in enhancing the company's 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 the reliability and scalability of solutions. You will be responsible for troubleshooting issues, optimizing performance, and documenting processes, all while contributing to the future of mobility and improving customer experiences.

Responsibilities

  • Provide day-to-day responsibility for key cloud-native infrastructure, computing, database, network, storage, and interoperability initiatives.
  • 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.

Requirements

  • Bachelor's Degree in Computer Science, Computer Engineering, or a related field, or a combination of education and equivalent experience.
  • 7 years of experience in IT or Technology-related disciplines with progressively increasing responsibility.
  • 5+ years of experience working with cloud-native (Azure, AWS, 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, ensuring security and compliance of the GCP environment.
  • Strong knowledge of Cloud security standards and principles including Identity and Access management.
  • 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.
  • Possess GCP Certification with one of the following: Google Cloud Digital Leader, Google Professional Cloud Architect, Google Professional Cloud DevOps Engineer, and/or Google Cloud Network Engineer.

Benefits

  • Immediate medical, dental, and prescription drug coverage
  • Generous PTO
  • Retirement and savings plans
  • Incentive compensation
  • Tuition assistance
  • Vehicle discount program
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service