Sr. Full Stack Developer

We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

In this position...

As a Sr. Full Stack Developer
, you will assume comprehensive ownership of our modeling tool ecosystem. This entails the end-to-end development, maintenance, and enhancement of custom Magic Draw/Cameo Systems Modeler plugins. You will also be instrumental in establishing sophisticated data retrieval mechanisms from the Teamwork Cloud Server, enabling the display of granular insights through dedicated data analytics dashboards. Moreover, you will devise and execute strategies for integrating with enterprise data platforms and explore the innovative application of AI/ML techniques to elevate our modeling intelligence and efficiency.

You'll work across the entire software stack, contributing to both our back-end services built with Java and Spring Boot, and our modern front-end user interfaces using either React or Angular. You will also play a key part in our Dev Ops practices, leveraging Github Actions pipelines (and potentially Jenkins) for continuous integration and deployment, and utilizing your knowledge of Google Cloud Platform (GCP) and Open Shift for deploying, managing, and monitoring our applications in the cloud.

You will contribute to architectural discussions and technology choices, ensuring seamless integration and optimal performance.

What you'll do...

• Design, develop, test, and deploy scalable and resilient back-end services and APIs using Java and the Spring Boot framework.
• Develop applications and scripts using Python and VS Code IDE, potentially for automation, data processing, or specific service components.
• Build responsive and user-friendly front-end interfaces using JavaScript with frameworks like React or Angular, leveraging Node.js for development tooling and package management.
• Implement and manage automated build, test, and deployment pipelines using Tekton pipelines and Jenkins (CI/CD).
• Deploy, manage, and monitor applications on Open Shift, our container orchestration platform, and Google Cloud Platform (GCP), understanding key GCP services (including potential storage, databases, networking, or serverless functions).
• Deploy infrastructure components using Terraform, orchestrated via Github actions pipelines.
• Ensure seamless integration between front-end and back-end components, ensuring smooth data flow and user experience.
• Collaborate closely with product managers, designers, and other engineers to define, design, and ship new features throughout the software development lifecycle.
• Write clean, efficient, well-tested, and maintainable code across the stack.
• Implement and maintain automated testing (unit, integration, end-to-end) for both front-end and back-end code.
• Identify and address performance bottlenecks, debug applications, and resolve technical issues.
• Participate in code reviews, provide constructive feedback, and contribute to team knowledge sharing and best practices.
• Troubleshoot production issues and implement fixes.
• Contribute to architectural discussions and technology choices.

You'll have...

• Proven experience of 10+ years as a Full Stack Developer or in a similar role, with a strong portfolio of delivered projects.
• Deep proficiency in Java and extensive experience with the Spring Boot framework.
• Hands-on experience with building and consuming RESTful APIs, FAST APIs and Stream APIs.
• Experience developing applications or scripts using Python.
• Knowledge of using AI/ML and Data analytics libraries such as Pandas, Num Py and TensorFLow.
• Strong practical experience deploying and managing applications on Google Cloud Platform (GCP). This could include experience with services like Cloud Run, Compute Engine, Cloud Storage, Firestore etc.
• Solid understanding of front-end development technologies, including JavaScript, HTML, and CSS, and modern front-end development principles.
• Demonstrated experience with modern JavaScript…