via Oraclecloud
$70K - 130K a year
Design, build, and deploy cloud-based analytics solutions integrating Generative AI and manage GCP infrastructure using Terraform.
Bachelor's degree and 4+ years software engineering experience with Python or Java, frontend/backend frameworks, and GCP Infrastructure as Code.
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and software engineering skills to drive evidence-based, timely decision-making. Position Overview Quality Analytics is a product group within GDIA that builds cutting-edge on-premises and cloud analytics solutions. We are modernizing our portfolio by embedding Generative AI, Large Language Models (LLMs), and autonomous agentic workflows to revolutionize how Ford manages industrial data. This Full-Stack Software Engineer position is ideal for a technically oriented, forward-thinking individual who has experience designing, building, and deploying cloud applications, owning Google Cloud Platform (GCP) infrastructure with hands-on Terraform expertise, and who is eager to pioneer the use of Agentic AI and LLMs to solve complex industrial analytics challenges.
This job posting was last updated on 8/6/2026