Ford - Charleston, WV

posted 3 months ago

Full-time - Mid Level
Charleston, WV
Transportation Equipment Manufacturing

About the position

As a GCP Cloud Engineer at Ford Motor Company, you will play a pivotal role in shaping the future of mobility by enhancing and simplifying Ford's complex global infrastructure environment. This position is part of the Enterprise Technology Group, where you will be responsible for managing cloud-native infrastructure across Google Cloud Platform (GCP), on-premises data centers, and distributed locations worldwide. Your work will directly impact the way Ford leverages technology to redefine transportation and improve customer experiences. In this role, you will collaborate with Technology and Software Platform teams to provide comprehensive solutions for cloud infrastructure, including hosting, computing, databases, and networks. You will define, analyze, assemble, and integrate components to deliver infrastructure patterns that meet business needs, ensuring considerations for software, availability, scalability, and reliability are met. Your responsibilities will include designing, building, and maintaining GCP infrastructure to support various applications and services, as well as integrating GCP services into the overall IT architecture. You will stay current with GCP technologies and best practices, providing recommendations for continuous improvement. Your expertise will be crucial in developing, advising, and documenting GCP infrastructure and deployment processes, utilizing tools such as REST API, Agile methodologies, DevOps practices, and version control systems like Git and JIRA. Additionally, you will design and develop high-performance, scalable, and secure cloud-native applications on GCP, working closely with development teams to implement best practices for application deployment and management. Monitoring and optimizing the performance of GCP resources will be a key part of your role, as will troubleshooting and resolving issues related to GCP infrastructure and services. You will also support the development of technical designs and documentation, maintaining open channels of communication to share relevant information and best practices with your team and stakeholders.

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, considering platforms, software, availability, scalability, and reliability.
  • 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, utilizing REST API, Agile tools, DevOps, and version control tools (Git, JIRA).
  • Design and develop high-performance, scalable, and secure cloud-native applications on GCP.
  • Work with development teams to implement best practices for deploying and managing applications on GCP.
  • Monitor and optimize the performance of GCP resources, troubleshooting and resolving issues as needed.
  • Support the development of technical design and documentation.
  • Maintain open channels of communication by providing relevant information, technical expertise, and recommended best practices.

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, including researching the best use of cloud products and the ecosystem, designing, developing, implementing, and managing Google Cloud Platform infrastructure.
  • 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.
  • Good understanding of public cloud services offerings (covering Compute, Storage, Network, Web, Cognitive, AI, Functions, IAM, etc.).
  • Experience in building big data solutions, ensuring guardrails, security, and compliance of the GCP environment, with strong knowledge of Cloud security standards and principles including Identity and Access management.
  • Experience working on Serverless design, implementing Container As A Service (CaaS), Cloud Infrastructure (IaaS) Security Compliance requirements, monitoring Infrastructure (IaaS), Network management, storage management, and remediation automation.
  • Experience in building CI/CD pipelines using CI/CD methodologies leveraging Jenkins, containers, Kubernetes, etc.
  • Ability to ideate cloud-based solution accelerators and frameworks independently for migrating existing enterprise data warehouse to the Cloud.
  • Ability to define and design the technical architecture with best-suited GCP components ensuring seamless end-to-end workflow for applications.
  • Proficiency in scripting and automation tools along with excellent problem-solving and troubleshooting skills, strong communication and collaboration abilities.
  • Strong communication and presentation skills to provide new feature demos to project stakeholders.
  • Excellent interpersonal skills, a strong desire to move projects forward and be proactive, seeking opportunities to learn and improve.
  • 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
  • Flexible work life options
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