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 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.

Industrial Systems Analytics (ISA)is a product group that develops on-premises and cloud analytic solutions. This Software Engineer position is ideal for the technically oriented individual who has experience designing, building, deploying, and supporting cloud applications and is interested in working with a portfolio of strategic analytic solutions. 

In this role, you will collaborate with multiple organizations (Business Customers, Product Owners, Data Tech, IT) to convert business goals into analytic solutions. This role will work in small, cross-functional teams and embrace lean and agile practices, software best practices, software quality scanning, automated testing, and CI/CD.

The minimum requirements we seek: Bachelor’s degree in computer science, computer engineering or related quantitative field.  5+ years’ experience in Software Engineering.  3+ years of experience with frontend frameworks (Angular, React, or Vue)  3+ years of experience with backend frameworks (Flask, Django, FastAPI, or SpringBoot)  2+ years of experience with Python and Java programming languages 

Our preferred qualifications:

Master’s degree in computer science, computer engineering or related quantitative field.  Proven experience understanding, practicing, and advocating for software engineering disciplines including eXtreme Programming (XP), Clean Code principles, Software Craftsmanship, Lean methodologies, Paired / Mob / Ensemble programming, Test-first/Test Driven Development (TDD), etc.  Experience with developing for and deploying to cloud platforms (e.g. GCP, PCF, Azure)  Comfortable with Continuous Integration/Continuous Delivery tools and pipelines e.g., Tekton, Terraform Jenkins, Cloud Build, etc.  Highly effective in working with other technical experts, Product Managers, UI/UX Designers and business stakeholders  Experience with CA Agile Central (Rally), backlogs, iterations, user stories, or similar Agile Tools  Experience in the development of microservices  Understanding of fundamental data modeling  Strong analytical and problem-solving skills  Willingness to collaborate daily with team members.  A strong curiosity around how to best use technology to amaze and delight our customers 

The Software Engineer will work on a Balanced Product Team and collaborate with the Product Manager, Product Designer, and other Software Engineers to deliver analytic solutions. The Software Engineer will be responsible for the development and ongoing support/maintenance of the analytic solutions.

Product And Requirements Management: Participate in and/or lead the development of requirements, features, user stories, use cases, and test cases. Participate in stand-up operations meetings. Author: Process and Design Documents Design/Develop/Test/Deploy: Work with the Business Customer, Product Owner, Architects, Product Designer, Software Engineers, and Security Controls Champion on solution design, development, and deployment. Operations: Generate Metrics, Perform User Access Authorization, Perform Password Maintenance, and Build Deployment Pipelines.

Incident, Problem, And Change/Service Requests: Participate and/or lead incident, problem, change and service request-related activities. Includes root cause analysis (RCA). Includes proactive problem management/defect