Full-stack Software Engineer

As a Full-stack Software Engineer at Raidium, your primary responsibilities include designing and maintaining the front-end and back-end components of our product. This involves serving Machine Learning models and manipulating radiological images. You will collaborate closely with ML Engineers to integrate advanced ML models, build infrastructure to accommodate user growth and data volume, and enforce coding best practices to ensure system soundness.

To qualify for the Full-stack Software Engineer position at Raidium, you should hold a Master's degree in Computer Science, Engineering, or a related field. Experience in full-stack development with skills in modern programming languages such as Python and JavaScript, proficiency with frameworks like FastAPI and React, and database systems is essential. You also need to be authorized to work in France and possess excellent communication skills in English.

While the basic qualifications prepare you for the role of Full-stack Software Engineer at Raidium, it’s also beneficial to have experience in an agile work environment, knowledge of containerization and orchestration tools such as Docker and Kubernetes, and familiarity with cloud providers like GCP, AWS, or Azure. Additionally, understanding machine learning concepts and experience with managing radiological images (like DICOM or nifti) can give you a competitive edge.

Yes, Raidium has a flexible hybrid working policy that allows for remote work. As a Full-stack Software Engineer, you will come to the office two days a week and can enjoy the freedom to work remotely the rest of the time. This approach fosters a balanced work-life dynamic while maintaining close collaboration with your team members.

Working at Raidium means you are not just part of a company, but a transformative mission in healthcare. As a Full-stack Software Engineer, you will have the opportunity to work on cutting-edge technology that positively impacts lives, collaborate with a diverse team of experts, and continuously improve your skills in a supportive environment. Additionally, you will enjoy competitive compensation and access to premium computing hardware.

When answering this question, it’s important to highlight your specific roles in previous projects as a Full-stack Software Engineer. Mention the technologies you’ve used, such as Python and React, and provide examples of both front-end and back-end tasks you’ve handled. Emphasize your problem-solving skills and how your contributions impacted the projects positively.

For this question, explain your approach to teamwork as a Full-stack Software Engineer. Discuss the importance of communication and aligning technical goals. Provide an example where you worked together on a project, emphasizing how you integrated ML models and the methods you used to synchronize your tasks effectively.

Ensure to address the importance of maintaining high code quality in your response. Share your approach towards enforcing coding standards, such as implementing automatic testing, linting, and continuous integration. You can also mention how code reviews and pair programming contribute to improving code quality as a Full-stack Software Engineer.

In answering this question, it is best to showcase your knowledge and experience with cloud service providers like AWS, Azure, or GCP. Highlight any specific projects where you utilized containers and orchestration tools like Docker or Kubernetes. Explain how these technologies enhance the deployment and scaling of applications.

When tackling this question, it's an excellent opportunity to demonstrate your problem-solving skills as a Full-stack Software Engineer. Select a specific scenario that showcases your technical abilities, analyze the problem, and discuss your thought process leading to the solution. Make sure to highlight any teamwork involved and the final outcomes of your solution.

This is your chance to talk about any projects where you’ve worked with machine learning models, whether in implementation or integration. If you have worked with specific ML frameworks or tools, mention those and describe how you contributed to the success of the project as a Full-stack Software Engineer.

A good answer here would involve mentioning various resources you use, such as blogs, podcasts, webinars, or conference events. Additionally, discuss how you apply new knowledge to your current work, emphasizing your commitment to continuous learning as a Full-stack Software Engineer.

In your response, you can discuss why performance is vital for software applications, especially in healthcare environments. Share specific practices you incorporate, such as profiling, caching strategies, or optimizing database queries, showcasing your understanding and practical approach to optimizing performance.

Share your time management and prioritization strategies, such as using task management tools or adhering to Agile methodologies. Discuss how you assess the urgency and importance of each task and how you adjust based on project deadlines while working as a Full-stack Software Engineer.

This is your opportunity to show your motivation and interest in the role. Highlight what excites you about Raidium's mission in revolutionizing radiology, the chance to work with advanced technologies, and the collaborative environment with skilled professionals. Being genuine in your passion for the role will resonate well in your interview.