Mid-weight Python Engineer

At Petlab Co, a Mid-weight Python Engineer plays a crucial role in transforming our tech stack from a monolithic system to a microservices architecture using Python. You will be involved in developing high-quality, tested software that is scalable and reliable, ensuring the technical solutions meet both functional and non-functional requirements.

To apply for the Mid-weight Python Engineer position at Petlab Co, candidates should have at least 3 years of relevant engineering experience, particularly in backend technologies like Python and SQL. Experience with cloud services like AWS, microservices, and infrastructure as code (IAC) is also advantageous.

The company culture at Petlab Co is vibrant, fast-moving, and focused on customer-driven results. As a Mid-weight Python Engineer, you will be part of a collaborative team where high performance is rewarded, and everyone is encouraged to share ideas and best practices in a supportive environment.

As a Mid-weight Python Engineer at Petlab Co, you will work on a full platform rebuild, particularly innovating in transforming our legacy systems to use Python and microservices. This exciting opportunity allows you to contribute directly to impactful projects that help enhance pets' lives.

Yes, Petlab Co offers a structured career path for Mid-weight Python Engineers, emphasizing personal and professional growth. With a learning and development budget, employees are encouraged to upskill and explore new technologies, enhancing their careers within the company.

At Petlab Co, remote work for a Mid-weight Python Engineer is flexible, focusing on results rather than strict hours. Employees can manage their own time and work environment, fostering a healthy work-life balance while driving productivity.

A Mid-weight Python Engineer at Petlab Co will work with a modern technology stack that includes Python, SQL, microservices, API Gateway, Lambda, Terraform, and AWS Cloud. This diverse tech environment provides an exciting opportunity to work with cutting-edge technologies.

When answering this question, emphasize specific projects where you've successfully utilized Python for back-end development. Discuss your knowledge of frameworks you’ve used like Django or Flask and how you ensure code quality and scalability in your solutions.

It's important to discuss specific design patterns such as Singleton, Factory, or Observer patterns and provide practical examples of when you've applied them in your work. Explain the problem they solved and the benefits they brought to your codebase.

In responding to this question, detail your approaches to profiling Python applications to identify bottlenecks, as well as strategies you’ve implemented such as code refactoring, optimizing database queries, or using caching techniques to enhance performance.

Here, highlight your familiarity with AWS services like EC2, S3, and Lambda - especially how you’ve utilized them for deployment. Talk about any specific challenges you faced and how you overcame them to ensure a smooth deployment process.

You should outline the fundamental principles of microservices architecture, how you’ve approached building them, and discuss the advantages, including scalability, ease of deployment, and isolation of services, potentially using real-world examples.

Choose a project relevant to Python and back-end development, explaining the challenge in depth while illustrating your problem-solving process. Highlight the skills you used and the outcome, focusing on team collaboration if applicable.

In your response, detail best practices you follow like writing unit tests, conducting code reviews, and following coding standards. Emphasize the importance of documentation and how it contributes to maintainability in collaborative environments.

Talk about specific resources you follow, such as blogs, podcasts, or online courses to keep your skills updated. Mention any communities or networks you engage with, as well as projects you participate in as a means of continuous learning.

It's beneficial to showcase your communication skills here by explaining how you’d simplify technical jargon into layman's terms, using analogies when possible. Also, highlight the importance of being patient and ensuring understanding.

Discuss how you evaluate task importance and urgency, possibly leveraging tools like Kanban boards or project management methodologies. Emphasize collaboration with team members to align on priorities in a dynamic work setting.