Full Stack Application Developer 1 or 2

This position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly and efficiently while providing excellent value for the organization.

The Stack Developer will work with stakeholders – both business and IT to be responsible for developing and integrating front-end and back-end components for AI applications. Your role will be crucial in ensuring the scalability and performance of AI-driven solutions and creating intuitive user interfaces in collaboration with UX/UI designers.

Responsibilities:

1. Front-End Development: Develop responsive and user-friendly front-end components using frameworks such as Angular.
2. Back-End Development: Design and implement robust back-end systems using frameworks such as Node.js and Django.
3. Integration: Ensure seamless integration of front-end and back-end components to support AI applications.
4. Scalability and Performance: Optimize AI-driven solutions for scalability and performance.
5. Collaboration: Work closely with UX/UI designers to create intuitive and visually appealing user interfaces.
6. API Development: Develop and maintain RESTful APIs and microservices architecture.
7. Database Management: Manage and integrate database systems to ensure data availability and reliability.

Qualifications:

1. Education: Degree in Computer Science or related field.
2. Front-End Skills: Proficiency in web development technologies, including HTML, CSS, JavaScript, and Angular.
3. Back-End Skills: Experience with back-end frameworks such as Node.js and Django.
4. API Development: Experience with RESTful APIs and microservices architecture.
5. Database Management: Knowledge of database management systems.
6. Collaboration: Ability to work effectively in a collaborative, cross-functional team environment.
7. Problem-Solving: Strong problem-solving skills and a passion for tackling complex challenges.

Preferred Qualifications:

1. Experience with cloud-based platforms and services (e.g., Azure).
2. Familiarity with DevOps practices and tools.
3. Knowledge of version control systems like Git.
4. Previous experience in developing AI-driven applications.