Full Stack Software Engineer - Supply Chain Sustainability Strategy

Ford

  • Dearborn, MI
  • Permanent
  • Full-time
  • 2 months ago
Lead in the creation and implementation of IT solutions to meet the functional & nonfunctional requirements of the long-term capabilities and use-cases of supply chain digitization Experiment with external, third-party tools (e.g., AI/ML, Eclipse Dataspace Connectors) and explore their integration opportunity with for N-Tier Collaboration platforms and tools Research and develop rapid prototypes to prove out new concepts, use-cases, and tools Interact with external and internal technical peers (Product Designers and Managers, Software Engineers, Architects, Vendors) to co-develop the solutions Coordinate with application architects to validate solution designs with a focus on the reliability and stability of the product Contribute to developing solutions that are optimized for performance, scalability, security, and analytics integration Contribute to maintaining an evolving backlog and enable the group to go further with effective usage of Rally/Jira Participate in triage and debugging sessions for systems/tools integration issues Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, Information Systems, Engineering, Mathematics or equivalent 5+ years of programming experience in at least two highly utilized programming languages and tools, i.e., C++/C#, Java, Python, R, HTML5, JavaScript, Node.js, etc. 3+ years of experience with scripting and SQL / NoSQL databases 3+ years of experience with cloud application development with GCP / Azure / AWS / PCF 2+ years of experience with frontend web frameworks such as React, Angular, etc. 2+ years of experience working with CI/CD systems (e.g., Gitlab / Jenkins) Proven, demonstrable experience in developing and managing high availability, scalable applications using toolkits such as Spring Boot, Git, Docker, RESTful APIs, DevOps tools Experience with emerging technologies such as AI/ML frameworks (like TensorFlow, Caffe, Keras or PyTorch) and libraries (like scikit-learn) Full stack developer with ability to design, build and deliver rapid prototypes Strong background in agile programming principles and methodologies Excellent interpersonal, written, and oral communications skills Masters degree is Computer Science or equivalent preferred

Ford