Mid level Back End Python Engineer

The Mid-Level Back-End Python Engineer at our company is responsible for leading junior engineers, designing and implementing systems, enhancing features for our GHG emissions product, and integrating third-party APIs. You'll play a crucial role in ensuring the reliability and scalability of our solutions while working with geospatial data.

To qualify as a Mid-Level Back-End Python Engineer at our company, candidates must hold a Bachelor’s or Master’s degree in Computer Science or a related field, along with 4-6 years of relevant software engineering experience. Strong proficiency in Python, solid experience with SQL and relational databases, and familiarity with Linux-based operating systems are essential.

Having a strong foundation in event-driven architecture, experience with RESTful APIs, and knowledge of infrastructure automation tools like Docker will help you stand out as a Mid-Level Back-End Python Engineer at our company. Additionally, a background in environmental sustainability can be a significant advantage.

Our company is committed to supporting the growth of its employees, including Mid-Level Back-End Python Engineers, by offering opportunities for skill expansion and professional development, alongside a dynamic and mission-driven work environment that fosters creativity and innovation.

As a Mid-Level Back-End Python Engineer, your work will have a profound impact on sustainability efforts. By developing and enhancing our GHG emissions visibility product, you will play a critical role in helping businesses understand and reduce their carbon footprints, contributing to a more sustainable future.

When answering this question, highlight specific projects where you've utilized Python, focusing on your use of frameworks, libraries, and your problem-solving approaches in back-end development.

Discuss your approach to communication and collaboration. Explain how you ensure differing opinions are addressed while maintaining project goals and team morale.

To answer this, refer to specific techniques you’ve employed in past projects, such as indexing, query optimization, or database normalization practices that you’ve found effective.

Explain event-driven architecture clearly and share your experience implementing it, including the benefits such as increased scalability and responsiveness of applications.

Discuss your experience with coding standards, testing frameworks, and methodologies you've used, like unit testing or code reviews, to ensure high standards in code quality.

Mention any specific frameworks you have experience with, such as Django or Flask, and discuss how they improved your development processes or solved challenges.

Describe your methods for prioritizing tasks, such as using project management tools or methodologies like Agile, illustrating with examples from your past experience.

Detail your experience with RESTful APIs or other web services, including any specific projects where you integrated APIs and the challenges you overcame.

Discuss your commitment to continuous learning, including resources you use such as online courses, tech blogs, or community meetups to stay informed about industry trends.

Share your passion for software engineering and how it connects to your values, particularly regarding sustainability, highlighting how this motivates your work with technology for positive change.