Senior Full Stack Software Engineer

Ford Motor Company • Dearborn, MI

1d • Hybrid

About The Position

Enterprise Technology plays a critical part in shaping the future of mobility. If you’sre 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. 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.

Requirements

• 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 efficiency.
• Experience with Agile/Scrum methodologies and TDD/BDD practices.
• Proven ability to mentor junior engineers, lead code reviews, and drive engineering best practices across the team.
• Excellent, proactive communication skills with a service-oriented mindset when collaborating with global IT and business partners.
• Self-motivated, growth mindset with the ability to adapt quickly to new processes and technologies.
• Ability to work effectively and efficiently within a diverse, global team environment.

Nice To Haves

• Proven ability to manage complex workstreams with high autonomy and a proactive approach to problem-solving.
• Strong interpersonal skills with the ability to navigate technical disagreements gracefully and foster a positive, ego-free team culture.
• Experience contributing to technical roadmaps and making high-level design decisions that balance speed with system stability.
• Prior experience in Manufacturing, Supply Chain, or Industrial Systems (highly preferred).
• Experience building or consuming AI/ML APIs (e.g., OpenAI, Azure AI, or internal FordLLM tools) to enhance application logic and user experience.
• Familiarity with advanced testing frameworks like Cypress or Playwright for end-to-end automation.
• A passion for "cleaning up" codebases and a track record of successfully decoupling legacy systems into modern microservices.

Responsibilities

• 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.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior