Fullstack/ Backend Engineer

As a Fullstack/Backend Engineer at IntelliPro, your key responsibilities include developing and optimizing backend systems that support AI-driven applications, designing scalable APIs, and maintaining cloud infrastructure. You will collaborate closely with teaming cross-functional teams to integrate AI models into production environments while ensuring high performance and reliability in fast-paced development cycles.

To be considered for the Fullstack/Backend Engineer position at IntelliPro, candidates should have over 5 years of experience in backend or fullstack development. Proficiency in Python, alongside experience in Generative AI technologies, is crucial. A strong understanding of distributed systems and cloud computing is essential, along with a bachelor's degree in Computer Science, Engineering, or a related field.

IntelliPro is dedicated to fostering employee growth through continuous learning and professional development opportunities. As a Fullstack/Backend Engineer, you will have access to cutting-edge technologies and innovative projects that will enhance your skills. We encourage collaboration and provide a supportive environment that allows team members to thrive and excel in their careers.

The work environment at IntelliPro for a Fullstack/Backend Engineer is dynamic, fast-paced, and filled with opportunities for collaboration. Our startup culture emphasizes creativity and innovation where team members work together to tackle complex technical challenges. If you thrive in such an environment, you’ll find yourself right at home here.

IntelliPro provides a comprehensive benefits package for Fullstack/Backend Engineers, which includes competitive compensation determined by various factors such as education and experience, along with health and wellness programs. We believe in supporting our employees with benefits that cater to their overall well-being, making us a fantastic place to work.

When developing scalable APIs, I focus on defining clear endpoints, utilizing RESTful principles, and implementing efficient caching strategies. Additionally, I ensure proper authentication and authorization are in place while employing tools like Swagger for documentation. I prioritize performance testing to ensure scalability as the user base grows.

In a technical environment, I approach problem-solving methodically by first thoroughly understanding the issue at hand. I break the problem down into smaller parts, research each component diligently, and actively collaborate with teammates for diverse perspectives. This structured approach allows me to develop efficient and effective solutions.

My experience with cloud computing technologies includes working with AWS and Azure for hosting applications and managing data storage solutions. I have utilized various services like EC2 for computing, S3 for storage, and Lambda for serverless computing, ensuring scalability and performance throughout the development process.

To stay updated with advancements in Generative AI, I regularly attend industry conferences, participate in relevant online courses, and follow thought leaders in the field on platforms like LinkedIn and Twitter. This active engagement allows me to apply new findings and technologies to my work effectively.

I have worked with distributed systems extensively, focusing on designing scalable architecture that distributes workloads effectively. My experience includes implementing microservices architectures and utilizing message brokers like Kafka for communication, ensuring high availability and fault tolerance.

For backend development, I prefer using Flask and Django for Python-based applications due to their robustness and flexibility. I also often use SQLAlchemy as an ORM tool to handle database interactions efficiently, making the development process smoother and more organized.

To ensure code quality and maintainability, I adhere to best coding practices including the use of code reviews, testing frameworks like PyTest, and continuous integration pipelines. I also document code thoroughly and refactor it regularly to keep the codebase clean and understandable for my team.

One complex technical challenge I faced involved integrating a third-party API into our existing platform. The API documentation was insufficient, so I created a comprehensive testing strategy to simulate its responses, allowing us to design our solution around this uncertainty, ultimately leading to a successful integration.

My experience with API testing includes using tools like Postman and automated testing frameworks to ensure the reliability of API endpoints. I perform both functional and load testing to verify that APIs efficiently handle requests under various conditions and stress levels before production deployment.

I handle version control using Git as my primary tool. I maintain organized branches for features, bugs, and releases, ensuring that all changes are reviewed through pull requests. This methodology not only tracks changes effectively but also enhances collaboration within the team.