Senior Full Stack Software Engineer
Ford Motor
- Location
- Dearborn, MI, United States
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 262 approvals (FY2023)
- Posted
- 22h ago
Skills
About this role
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... The Manufacturing Production Scheduling PDO Team is the place to be! We are transforming the In-Plant Scheduling space through re-engineering and new development utilizing the latest technologies, including AI-driven optimization and predictive analytics, to bring flexibility and innovation at market speed. Our systems schedule, build, and monitor plant floor operations globally. We have a mix of critical and non-critical applications that are responsible for producing Ford vehicles, powertrains and stamped components to meet global production needs. If you are in IT and looking to gain product knowledge in one of Ford’s core business pillars, look no further. We run critical operations with 24/7 uptime requirements, delivering bottom-line value to Ford Motor Company. The Senior Full Stack Software Engineer is responsible for working within the product team to design and deliver complex features, and provide 3rd-level support for critical plant-floor applications, ensuring continuous production. What you'll do...
Lead the definition and implementation of migration paths off legacy technology, focusing on decoupling old systems and ensuring modern system scalability, reliability, and maintainability. Drive high standards by implementing automated testing strategies, CI/CD pipelines (including blue/green deployment concepts), and robust monitoring/alerting (Splunk, Dynatrace). Leverage Generative AI tools to refactor legacy codebases, automate documentation and generate robust unit/integration tests. Provide technical guidance to the PDO team, ensuring high code quality through rigorous peer and AI-assisted code reviews, while mentoring the team on effective Prompt Engineering to accelerate development cycles (jMeter, Cucumber, Cypress) Utilize a modern tech stack (SpringBoot, GitHub, Jenkins, Docker/Kubernetes, OpenShift, SQL/PostgreSQL) to develop and deliver Schedule Management capabilities to the distributed plant floor. Partner with Technical Leads and Product Managers to shape the technical roadmap and ensure seamless integration with plant-floor hardware and upstream/downstream systems. Execute within an Agile framework, utilizing Jira for iteration planning and ceremonies (Scrum, TDD/BDD) to deliver value at market speed. Master the core functionality of Manufacturing Production Scheduling to translate complex technical constraints into actionable insights for business leads.
You'll have...
Bachelor’s Degree in Computer Science, Software Engineering, or a related technical field. 7+ years of professional software development experience with a full-stack focus. Deep proficiency in Java, SpringBoot, and Microservices. Experience building modern frontends using Angular. Strong experience with relational databases (SQL Server, PostgreSQL). Proven experience modernizing legacy integrations (utilizing SFTP, SOAP, and XML) and migrating to cloud-native architectures. Hands-on experience with containerization and cloud platforms (e.g., Docker, Kubernetes, OpenShift). Proficiency in leveraging Generative AI developer tools (e.g., GitHub Copilot) to accelerate the SDLC and improve code quality. Strong understanding of Prompt Engineering and the ability to validate AI-generated code for security and