As a Staff Full-stack Software Engineer at RadiantGraph, you'll be responsible for architecting and maintaining scalable backend services and APIs using Python. You will design and optimize data pipelines, collaborate across teams, and drive technical decisions. Your focus will primarily be on backend systems and data engineering, while also contributing to frontend development when necessary.

To qualify for the Staff Full-stack Software Engineer role at RadiantGraph, candidates should have 10+ years of software engineering experience, with at least 3 years in a Staff-level position. You should possess deep expertise in Python and knowledge of backend frameworks such as FastAPI, Django, or Flask, along with strong skills in data engineering and database optimization.

In the Staff Full-stack Software Engineer role at RadiantGraph, you'll primarily work with Python, data engineering tools, and frameworks such as FastAPI, Django, or Flask. Familiarity with modern databases like PostgreSQL and cloud services (AWS, GCP, or Azure) will also be essential as you develop scalable applications and APIs.

At RadiantGraph, you can expect a fast-paced, high-ownership work environment where innovation thrives. You'll have the autonomy to drive complex projects and deliver impactful solutions while collaborating with talented engineers, product teams, and data scientists to enhance consumer care through AI-driven applications.

RadiantGraph actively fosters growth by encouraging knowledge sharing, mentorship, and collaboration among its engineers. As a Staff Full-stack Software Engineer, you will lead by example, conduct code reviews, and mentor junior team members, all while having the opportunity to learn about emerging technologies and advocate for best practices in the industry.

When answering, share specific projects where you implemented these frameworks, focusing on your contributions, the challenges you faced, and how you overcame them. Highlight the benefits you experienced or the performance improvements achieved.

Provide a detailed account of the ETL processes you managed, emphasizing the technologies and methods you used to optimize performance. Explain how your interventions led to measurable improvements in data processing or accuracy.

Discuss your approach to implementing security measures such as OAuth, SAML, and JWT. Include any experiences you have with HIPAA compliance, focusing on how you've integrated security best practices into your projects.

Explain your workflow for task prioritization, including how you assess urgency versus importance. Share examples of how this approach has led to successful outcomes in your previous projects.

Detail your use of specific cloud services within your projects. Highlight how you've utilized these tools for deployment, data storage, or services that have contributed to scalability and efficiency in your applications.

Highlight your mentorship style and specific instances where you helped junior engineers grow. Discuss how you facilitated knowledge transfer, and the impact it had on team performance and morale.

Provide an example of a significant challenge you encountered, outlining your thought process, the steps you took to resolve the issue, and the results. Demonstrate your problem-solving ability and technical expertise.

Discuss how you've implemented and utilized CI/CD pipelines in your previous roles, emphasizing the tools and practices employed. Include examples of how CI/CD improved development speeds and code quality.

Share your strategies for keeping up with industry trends, such as following relevant blogs, participating in online courses, or attending conferences. Explain how you have applied new knowledge to your work.

Outline your views on scalability, discussing concepts such as database optimization, load balancing, and modular architecture. Provide examples of how you've applied these principles to deliver scalable solutions.