Python Engineer (Data Enrichment)

As a Python Engineer at SEON, you will be engaging in designing and implementing robust backend solutions that enhance the performance and reliability of our Data Enrichment services. Your role will involve leading technical investigations, mentoring junior engineers, and collaborating with various teams to create seamless integrations. You will also focus on improving monitoring systems and identifying bottlenecks to enhance overall system performance.

To be successful as a Python Engineer at SEON, candidates should have strong expertise in Python, particularly in RESTful API design. Advanced knowledge of networking concepts, experience with cloud platforms like AWS, and familiarity with containerization technologies such as Docker and Kubernetes are also crucial. Excellent problem-solving skills and the ability to mentor other engineers are highly valued in this role.

SEON is committed to fostering professional development, especially for Python Engineers. In your role, you'll act as a mentor to junior engineers, participate in technical design discussions, and have access to significant learning and development opportunities. Additionally, the company encourages a collaborative environment where knowledge sharing and best practices are promoted.

Candidates applying for the Python Engineer position at SEON should be familiar with technologies such as AWS services (DynamoDB, Lambda), containerization tools (Docker, Kubernetes), and monitoring tools (Kibana). Knowledge of ElasticSearch, Redis, and CI/CD workflows like GitHub Actions would also be beneficial.

SEON offers a variety of attractive benefits to Python Engineers, including an employee stock ownership plan (ESOP), a hybrid working environment with flexible hours, generous holiday allowances, and access to private health insurance. Additional perks include complimentary weekly language courses, enhanced parental leave, and a supportive workplace culture that values each individual's contributions.

When answering this question, highlight specific projects where you've utilized Python, particularly focusing on RESTful API development. Describe the challenges you faced and the solutions you implemented, emphasizing your problem-solving skills and the impact of your contributions.

In your response, detail your mentoring philosophy and share examples of how you've supported junior engineers in their professional growth. Emphasize the importance of fostering a collaborative environment and how sharing knowledge can enhance team performance.

Discuss specific methodologies you employ, such as identifying bottlenecks, analyzing system architecture, or implementing caching strategies. Provide examples of how your strategies have successfully improved performance in past projects.

Choose a relevant technical challenge and lay out the problem-solving process you used. Highlight the steps taken, your analytical approach, and the results achieved, showcasing your ability to overcome difficulties effectively.

Explain your experience with monitoring systems and incident response procedures. Discuss tools you've used to enhance observability and strategies for minimizing downtime, emphasizing the importance of maintaining high system reliability.

Articulate the significance of collaboration in your work, citing examples of successful cross-team projects. Emphasize how effective communication and teamwork lead to higher-quality software outcomes.

Share specifics about the cloud platforms you have worked with, particularly AWS, and any projects involving containerization technologies like Docker or Kubernetes. Discuss the benefits of using these tools in your projects.

Discuss your approach to managing technical debt, explaining the balance between delivering new features and maintaining the codebase. Provide examples where you've successfully implemented best practices to reduce technical debt.

Describe the API integration project, its objectives, and your role. Highlight the techniques and technologies you used and the end results, showcasing your capability to deliver seamless integrations.

Mention specific blogs, forums, and online courses you follow to stay updated with new technologies and trends in software engineering. Discuss how continuous learning influences your work as a Python Engineer.