Full Stack Developer

Stefanini Group•Dearborn, MI

7d•Onsite

About The Position

Stefanini Group is seeking an experienced full-stack software developer to build and support products that make Supply Chain Analytics algorithms accessible to business users. The role involves working across the application stack, with opportunities to specialize more deeply in front-end or back-end development, and contributing to the integration of AI capabilities into software products. The position is listed in Dearborn, Michigan. The developer will collaborate with data scientists, AI engineers, product managers, and business stakeholders to turn analytics and AI capabilities into usable products. The work is managed through a prioritized backlog using Agile practices and Rally, and includes contributing to technical design, architecture, and engineering practices. The developer will also mentor team members, communicate technical progress and business value to technical audiences and Ford leadership, and help product-driven organization (PDO) teams adopt effective engineering and Agile practices.

Requirements

At least 7 years of software engineering experience, including Java and Spring Boot development.
At least 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.
Technologies and platforms listed in the job details include GCP Cloud Run, GCP, Angular, React, and Java.

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 the integration and evaluation of AI-enabled features, with attention to reliability, data protection, and responsible use.
Deliver work from a prioritized backlog using Agile practices and Rally.
Apply pair programming, code review, automated testing, test-driven development, and continuous integration and delivery practices.
Promote clean, maintainable code and contribute to technical design and architecture discussions.
Mentor team members and help product-driven organization 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.