Developer

As a Software Engineer with Deutsche Telekom IT Solutions, your primary responsibilities will include designing and implementing software solutions in Python for data extraction from Visio files, integrating these systems into existing environments, and creating lightweight visualizations of extracted objects. You will also work closely with DevOps engineers to improve continuous integration and deployment processes, ensuring that our applications run smoothly and effectively.

To qualify for the Software Engineer role at Deutsche Telekom IT Solutions, candidates must have a university degree in computer science or a related field, along with a minimum of three years of professional experience in software development using Python. Familiarity with SQL, REST APIs, and proficiency in CI/CD processes are also essential. Experience with cloud-native applications, Linux, Docker, and Kubernetes will further enhance your candidacy.

Software Engineers at Deutsche Telekom IT Solutions predominantly work with Python for developing automation solutions. Other key tools and technologies include Jupyter, PostgreSQL, machine learning frameworks such as PyTorch and OpenCV, as well as Docker and Kubernetes for containerization. Familiarity with version control using Git and agile methodologies is also important in this dynamic work environment.

Yes, remote work is available for the Software Engineer position at Deutsche Telekom IT Solutions; however, it is strictly limited to within Hungary due to European taxation regulations. This policy allows for flexibility while ensuring compliance with local tax requirements.

The work culture at Deutsche Telekom IT Solutions is centered around collaboration, innovation, and the well-being of employees. As a Software Engineer, you’ll be encouraged to engage in diverse challenges in a supportive environment that emphasizes professional growth and work-life balance. The company values team spirit, and fostering a positive workplace culture is a top priority.

When responding to this question, highlight specific projects where you've utilized Python, discussing your role in the development process, the libraries or frameworks you used, and any challenges you faced that you successfully overcame. Showcase your ability to write clean, efficient code and your problem-solving skills in real-world applications.

To answer this question effectively, describe your understanding of CI/CD principles, share specific tools you have used (like Jenkins, GitLab), and detail the processes you followed to streamline deployment workflows. Mention any metrics you tracked to measure success, along with how these practices improved software quality and team efficiency.

Outline your approach to debugging, which could include methods like using logging libraries, debugging tools such as pdb, or writing test cases with frameworks like pytest. Illustrate the importance of having control over the entire software stack and how you've applied these strategies to identify and fix errors effectively.

When discussing your SQL experience, it's important to highlight your comfort with writing complex queries, optimizing database performance, and how you've utilized SQL in conjunction with Python. Mention any specific databases you've worked with and describe situations where your SQL skills led to improvements in data retrieval or reporting.

In your response, emphasize the importance of communication, active listening, and flexibility in a team environment. Give examples of successful collaborations with Data Scientists, DevOps engineers, or other specialists, describing how your contributions helped achieve the team’s goals while fostering a conducive working atmosphere.

When answering, discuss specific machine learning projects you have been involved in, detailing the frameworks you used, the problems tackled, and any valuable insights derived from the analytics process. This demonstrates not only your technical proficiency but also your ability to apply ML concepts to real-world scenarios.

Here, you should stress the importance of version control in maintaining code integrity, collaboration among team members, and the ability to track changes. Discuss your familiarity with Git, branching strategies, and how you resolve merge conflicts to ensure smooth team collaboration.

In your response, narrate a specific scenario where you faced challenges, detailing the problem, your approach to solving it, and the outcome. Make sure to emphasize your problem-solving skills, adaptability, and how you leveraged your team for insights or support.

Elaborate on your experience with methodologies such as Agile, Scrum, or Kanban. Highlight how these frameworks have improved your workflow efficiency, team collaboration, and your adaptability to changing requirements during a project lifecycle.

To effectively answer this question, discuss techniques you use to profile and monitor application performance, optimizations you’ve implemented, and any architectural patterns you've followed to extend scalability. Mention your experience with containerization tools like Docker as they relate to efficient resource management.