Senior Python Backend Engineer (f/m/d)*

The Senior Python Backend Engineer at Parloa primarily focuses on designing and developing efficient backend solutions in Python to enhance our customer service automation tools. You'll work on cutting-edge LLM functionality, collaborate with engineering peers, participate in code reviews, and contribute to research concerning new technologies, ensuring our applications remain scalable and robust.

To qualify for the Senior Python Backend Engineer position at Parloa, candidates should possess at least 5 years of proficiency in backend engineering, particularly in scalable real-time Python applications. A strong capability in writing clean and modular code, experience with version control, CI/CD processes, and an understanding of data privacy in AI deployment are essential for success in this role.

For the Senior Python Backend Engineer position at Parloa, it's ideal to have strong knowledge of Python and experience with tech stacks like FastAPI, MongoDB, Docker, and Kubernetes. Familiarity with machine learning frameworks and libraries, along with a willingness to keep learning about emerging technologies, will also set you apart from other candidates.

The Senior Python Backend Engineer at Parloa plays a vital role in fostering a collaborative environment by actively sharing technical knowledge, participating in feedback sessions, and contributing to team development. You'll get to be instrumental in guiding best practices and encouraging a culture of continuous learning, which aligns with Parloa’s mission of growth and innovation.

As a Senior Python Backend Engineer at Parloa, you can look forward to a comprehensive benefits package that includes competitive compensation, equity options, flexible working hours, and generous vacation days. Furthermore, you’ll be part of a diverse team, benefit from a training and development budget, and enjoy regular team events, promoting an engaging and inclusive workplace culture.

In response to this question, discuss specific projects where you've utilized Python for backend applications. Highlight any frameworks you've worked with, such as FastAPI, and describe how you've designed and implemented scalable solutions that meet user needs.

Describe your philosophy around code reviews, emphasizing constructive feedback and collaboration. Discuss how you focus on both style and implementation issues, and mention any tools you use to facilitate code review processes effectively.

Share a specific instance when you assessed a new technology's integration into your project. Explain your research process, criteria for evaluation, and how the technology ultimately influenced your solution, showcasing your analytical and innovative thinking.

Discuss your practices for writing clean code, such as following coding standards, effective commenting, and modular design principles. You might also share insights on conducting thorough testing, which contributes significantly to maintainability.

Provide examples of past experiences where you identified performance bottlenecks, the techniques you implemented to optimize the application, and the resulting impact on scalability and user experience.

Discuss your hands-on experience in developing and managing CI/CD pipelines. Highlight the tools you've used, such as Jenkins or GitLab CI, and how these practices improved your development workflow, ensuring faster deployment cycles.

Talk about your proactive approach to professional development — attending workshops, utilizing online resources, or participating in coding communities. Emphasize your eagerness to stay adapted and informed to align with technological advancements.

Explain your awareness and adherence to data privacy regulations such as GDPR, especially regarding AI. Discuss relevant practices you implemented to safeguard sensitive user information when developing AI models.

Share your experiences collaborating on projects, emphasizing effective communication and teamwork. Highlight how you value diverse perspectives and work towards collective goals, which is especially important in a multicultural workplace like Parloa.

Express your enthusiasm towards the field of conversational AI and how it can transform customer interactions. Detail specific aspects of the technology that interest you, and how your expertise would contribute to advancing Parloa's mission in the industry.