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 team, we are looking for a Senior Full-Stack Software Engineer with a strong focus on Python development. 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 analytical skills to drive evidence-based, timely decision-making.

Minimum Qualifications:

Proficiency in English (written and verbal). 5+ years of experience in software engineering, with a focus on Python development. Bachelor's degree in computer science, computer engineering, or equivalent experience. 1+ year of experience developing and deploying for cloud platforms, specifically Google Cloud Platform (GCP), Azure, or AWS.  Version Control (Github and Git).   Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Experience with backend frameworks such as Flask, Django, FastAPI. Experience with frontend frameworks such as React and Angular. Notions on Infrastructure-as-Code (Terraform) Experience in full-stack development with other technical experts, such as Product Managers, UI/UX Designers and business stakeholders. 

Preferred Skills:

Experience with Infrastructure-as-Code (Terraform) and DevOps practices. Familiarity with CI/CD tools like Tekton or Jenkins.  Understanding of Agile methodologies.  Experience with Java and Spring Boot.  Familiarity with frontend frameworks like Vue. Experience with Test-First/Test Driven Development (TDD), MVP, Evolutionary design. Basic understanding of Machine Learning.  Collaborate with Product Managers, Product Designers, and other Software Engineers, to deliver innovative analytic solutions. Participate in the full software development lifecycle, including requirements gathering, design, development, testing, and deployment. Author process and design documents. Design, develop, test, and deploy solutions in collaboration with business customers, product owners, architects, and security controls champions. Generate metrics, perform user access authorization, maintain passwords, and build deployment pipelines. Lead and participate in incident, problem, change, and service request-related activities, including root cause analysis and proactive problem management.