Full Stack Developer

Stefanini Group•Dearborn, MI

7d•Onsite

About The Position

Stefanini Group is hiring an experienced full-stack software developer to build and support products that make Supply Chain Analytics algorithms accessible to business users. The role involves work across the application stack, with a deeper specialty in either front-end or back-end development welcome. The developer will also contribute to integrating AI capabilities into software products and work with data scientists, AI engineers, product managers, business stakeholders, and Ford leadership.

Requirements

7+ years of software engineering experience, including Java and Spring Boot development.
3+ years of experience developing applications with Angular.
Full-stack development experience, including web front-end and back-end services.
Experience developing and testing production software, including automated unit, integration, and end-to-end tests.
Experience working in an Agile environment and using Rally to manage work.
Experience with continuous integration and delivery tools and pipelines, such as Jenkins and Gradle.
Familiarity with deploying applications to cloud platforms, preferably Google Cloud Platform or AWS.
Experience working with AI-enabled applications or integrating AI capabilities into software products.
Bachelor's degree in Computer Science, Software Engineering, or a related field.

Nice To Haves

Experience with Python and integrating analytics models or services into applications.
Experience with generative AI or large language model integrations, including evaluating outputs and addressing reliability and security concerns.
Experience developing products for supply chain, logistics, operations, or analytics.
Experience mentoring developers or coaching teams on Agile and modern engineering practices.
Master's degree.

Responsibilities

Design, develop, test, deploy, and maintain web applications and tools that support Supply Chain Analytics.
Build and integrate front-end interfaces, back-end services, APIs, and analytics algorithms.
Collaborate with data scientists, AI engineers, product managers, and business stakeholders to turn analytics and AI capabilities into usable products.
Contribute to integrating and evaluating AI-enabled features, with attention to reliability, data protection, and responsible use.
Deliver work from a prioritized backlog using Agile practices and Rally.
Apply software engineering practices such as pair programming, code review, automated testing, test-driven development, and continuous integration and delivery.
Promote clean, maintainable code and contribute to technical design and architecture discussions.
Mentor team members and help product-driven organization (PDO) teams adopt effective engineering and Agile practices.
Communicate progress, risks, technical decisions, and business value clearly to technical audiences and Ford leadership.
Take ownership of problems, proactively identify opportunities, and move work forward through collaboration and sound judgment.