Senior Python Developer for AI Startup

As a Senior Python Developer at Makai, your primary responsibilities include developing new features using Flask, optimizing applications for speed and scalability, and ensuring the technical feasibility of UI/UX designs. You'll work closely with frontend developers to improve usability and conduct performance tests to ensure responsiveness and stability across all platforms. Your role is also crucial in maintaining and enhancing existing apps, writing clean documentation, and contributing to the team culture that values collaboration and service.

To qualify for the Senior Python Developer position at Makai, candidates should have a minimum of 7 years of experience in Python development, with at least 4 years focused on using Flask. Additionally, familiarity with SQLAlchemy, pydantic, and Docker is vital. A solid understanding of microservices architecture, excellent software engineering skills, and good English communication abilities are also essential for success in this role.

At Makai, we cultivate a team culture that values strong work ethics, self-sufficiency, and team collaboration. As a Senior Python Developer, you will be part of a fully remote environment where self-management and a flexible mindset are encouraged. We believe in being congenial and providing service to each other, our clients, and partners, allowing for a positive and productive workplace.

Makai is committed to the continuous professional development of its employees. As a Senior Python Developer, you will have numerous opportunities for career growth through various initiatives, including mentorship programs, access to educational resources, and the chance to work on cutting-edge projects. We prioritize skill enhancement and personal growth, empowering you to advance in your career path.

Yes, the Senior Python Developer position at Makai is a fully remote role. This allows you to work from wherever you feel most productive while still being part of a collaborative and dynamic team. Our operations are structured around accommodating remote work, with the added benefit of opportunities to engage with local colleagues when desired.

When discussing your Python experience, focus on specific projects or tasks you've completed using the language. Mention frameworks you’ve worked with, particularly Flask, and any relevant libraries like SQLAlchemy or pydantic. Highlight how your coding decisions enhanced application performance or user experience, and emphasize any collaborative work with other developers.

To ensure high code quality and maintainability, I focus on writing clear, well-structured code with thorough documentation. I employ version control systems like Git for tracking changes and utilize code reviews within the team to share knowledge and standards. I also make use of unit testing to validate functionality before deployment.

Optimizing applications involves a combination of profiling the code to identify bottlenecks, refactoring inefficient algorithms, and implementing caching mechanisms where useful. I also design my databases with normalization principles while considering the use of NoSQL solutions for scalability, especially in data-heavy applications.

I have extensive experience in microservices architecture, where I design applications as a collection of loosely coupled services. Each service is responsible for a specific business capability, which allows for independent deployment and scaling. I focus on proper inter-service communication and use technologies like Docker for containerization to facilitate development and deployment.

I view code reviews as a valuable opportunity for collaboration and improvement. I approach feedback with an open mind and assess the points discussed. I respond positively to suggestions and utilize them to refine my work. I also offer constructive feedback to my peers, fostering mutual respect and growth in our coding practices.

In a previous project, we faced performance issues due to high traffic. I led the initiative to profile the application, identifying bottlenecks, and implemented caching and database optimizations, ultimately reducing response times by over 70%. This experience taught me the importance of data-driven decisions in the development process.

I stay updated with the latest Python developments by following industry blogs, participating in online forums, and attending webinars or conferences. I also regularly contribute to open-source projects and engage with professional networks that focus on technology trends and best practices, ensuring that I’m always learning and adapting.

I prefer using integrated development environments (IDEs) such as PyCharm for its robust features. My methodologies often include Agile practices, as they support iterative development and continuous feedback. I also utilize tools such as Docker for containerization and CI/CD pipelines for efficient deployment management.

I utilize task management tools to organize my workload and set clear priorities based on deadlines and team requirements. I implement time-blocking techniques to allocate focused periods for coding while incorporating breaks to maintain productivity. Regular check-ins with the team allow me to keep aligned with our overall goals.

Teamwork is essential in my development process, as it encourages collaboration, diverse perspectives, and shared knowledge. I actively involve colleagues in problem-solving and value their input, which strengthens our projects. Regular communication and collaborative tools ensure that we remain cohesive and responsive to changes in the project scope.