Data Backend Developer

As a Data Backend Developer at Seed-X, you'll lead the development of our cutting-edge seed sorting technologies. You will be responsible for end-to-end development, implementing AI algorithms, and integrating with various systems. Additionally, you’ll own microservices, enhance product precision, and continuously evaluate new technologies to find innovative solutions.

To qualify as a Data Backend Developer at Seed-X, you should have a B.Sc. in Computer Science or Engineering, along with at least five years of software development experience in a SaaS setting. Proficiency in machine learning, particularly in image processing, and experience with server-side programming languages like Python or Node.js are essential.

For the Data Backend Developer position at Seed-X, you should be well-versed in server-side programming languages such as Python, Node.js, and Go. Furthermore, familiarity with SQL and NoSQL databases and experience with cloud infrastructures like AWS will significantly benefit your application.

In the role of Data Backend Developer at Seed-X, you'll work with a variety of technologies, including machine learning and computer vision frameworks like PyTorch, and you'll engage actively with big data pipelines and distributed systems. Knowledge of creating production APIs and familiarity with frameworks like Django or FastAPI are also advantageous.

At Seed-X, we prioritize continuous learning for our Data Backend Developers. You'll have the autonomy to experiment daily with new technologies, attend workshops, and participate in team knowledge-sharing sessions, ensuring that you stay ahead in the fast-evolving tech landscape.

When asked about your experience with server-side programming languages, highlight specific projects or tasks where you utilized languages such as Python, Node.js, or Go. Discuss your development process, the challenges you faced, and how you ensured your code maintained high performance and security.

In response to questions about your experience in machine learning and computer vision, provide examples of projects you've worked on. Detail how you integrated algorithms into applications, the results achieved, and your familiarity with frameworks like PyTorch that facilitated your work.

When asked about microservices architecture, share a specific project where you successfully implemented this structure. Explain your reasoning for choosing microservices, how you managed service communication, and the benefits of this approach in terms of scalability and maintenance.

When discussing AI solutions integration, stress your systematic methodology for ensuring compatibility. Describe steps such as assessing existing systems, choosing appropriate algorithms, and rigorously testing to ensure AI implementations meet performance expectations and enhance overall functionality.

To illustrate your approach to maintaining software quality, mention strategies like regular code reviews, implementing automated testing, and following best practices to ensure code modularity and robustness. Share stories that highlight how these strategies led to the successful delivery of projects.

Discuss your hands-on experience with databases, emphasizing projects where you utilized SQL or NoSQL. Talk about database design, querying practices, and how you ensured data integrity and performance optimization in your respective applications.

When explaining data pipelines and ETL processes, share your knowledge on how data moves from source to destination. Highlight specific tools you’ve used, how you set up ETL processes, and how you ensured data accuracy and efficiency throughout the pipeline.

To answer how you keep updated with technologies, mention subscribing to relevant tech blogs, participating in webinars, and being active in developer communities. Discuss how continuous learning plays a crucial role in your professional development as a Data Backend Developer.

When asked about team collaboration, emphasize your belief in open communication. Offer examples from your experience where collaboration led to successful project outcomes and how you deal with conflicts in a constructive manner.

To effectively answer why you are interested in Seed-X, connect your passion for innovative technology with our vision in the agri-tech space. Share your enthusiasm about contributing to a groundbreaking product like the Genee Sorter and how your skills align with our goals.