Didactica AI: Full stack engineer

The Didactica AI Full Stack Engineer role requires a mid-level professional with a solid foundation in both front-end and back-end development. Candidates should possess a bachelor's degree, indicating a strong educational background in computer science or a related field. The position demands proficiency in a comprehensive tech stack, including modern programming languages commonly used for full stack development such as JavaScript, Python, or Java. Experience with front-end frameworks like React, Angular, or Vue.js is essential to build responsive and user-friendly interfaces. On the back end, knowledge of server-side frameworks such as Node.js, Django, or Spring is important for developing robust APIs and managing databases. Familiarity with database technologies, both SQL and NoSQL, is expected to efficiently handle data storage and retrieval. Additionally, understanding of version control systems like Git, containerization tools such as Docker, and cloud services (AWS, Azure, or GCP) is valuable for deployment and continuous integration/continuous delivery (CI/CD) pipelines. The role involves working within agile methodologies, requiring good collaboration and communication skills. Given the AI focus of Didactica, experience or interest in integrating AI or machine learning components into applications would be advantageous. Overall, the candidate should demonstrate the ability to manage the full software development lifecycle, from design through deployment, ensuring scalable, maintainable, and high-quality software solutions.