Director of Software Engineering at Acuity leading AI - enabled digital commerce platform development and transforming user experience with modern architecture.
About the role
- Full-Stack Software Engineer developing applications with Generative AI and cloud technologies at Ford. Involves all stages of software development lifecycle within the Industrial System Analytics team.
Responsibilities
- Design, develop, and maintain full-stack applications, encompassing both front-end user interfaces (React/Angular) and robust back-end services (Node.js, Python/Django/Flask, Java/Spring).
- Integrate Generative AI and Large Language Model (LLM) capabilities to enhance application functionality and user interaction.
- Implement and optimize cloud solutions leveraging GCP tools (e.g., BigQuery, GCS, Dataflow, Dataproc) and APIs/Microservices.
- Deploy and manage applications on GCP using Docker and Kubernetes, ensuring optimal performance, scalability, and security.
- Participate actively in code reviews, advocating for best practices, test-driven development (TDD), and ensuring adherence to Ford's security and compliance standards.
- Collaborate with cross-functional teams, including product managers and designers, throughout the Agile software development lifecycle.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of professional full-stack software development experience.
- Demonstrated experience and strong understanding of Generative AI concepts and Large Language Models (LLMs), including their application and integration into software solutions.
- Proficiency in programming languages: JavaScript (with React/Angular), Java, Python, and SQL.
- Experience designing and developing RESTful APIs.
- Hands-on experience with GCP services (BigQuery, GCS, Dataflow, Dataproc) and deployment practices (Docker, Kubernetes, CI/CD pipelines).
- Proficient with Git version control and modern testing frameworks.
- Solid understanding of software development best practices, design patterns, Agile methodologies, and DevSecOps principles.
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