Platform Engineer

As a Platform Engineer at Deutsche Bank, you'll be responsible for the analysis, design, and hands-on development of software platforms within our Accounting Tribe Domain. This includes managing CI/CD pipelines using tools like Jenkins and GitHub Actions, ensuring the reliability of deployments, and collaborating with developers across teams. You'll need to have experience with container orchestration, particularly OpenShift, and optimization of data processing platforms based on Java and Hadoop.

To qualify as a Platform Engineer at Deutsche Bank, candidates should have previous experience in roles like Platform Engineering, DevOps, or Site Reliability Engineering. A strong foundation in containerization technologies such as Docker and orchestration frameworks like OpenShift or Kubernetes is essential. Proficiency in Java, Spring Boot, and familiarity with databases and message queues will further strengthen your application. Additional skills in cloud services, particularly Google Cloud Platform, and infrastructure as code tools are also preferred.

The environment at Deutsche Bank for Platform Engineers is collaborative and dynamic, focusing on continuous learning and innovation. Employees enjoy flexible work-from-home options and a modern office equipped with areas for relaxation and creativity. The culture promotes employee well-being, with support for mental health, private healthcare, and various social activities, ensuring a balanced approach to professional and personal life.

Deutsche Bank is committed to nurturing the growth of its Platform Engineers through a continuous learning culture. Employees are offered coaching, mentorship opportunities, and access to expert guidance to enhance their technical skills. With a supportive management team that values ideas and innovation, there are plenty of opportunities for performance-based promotions and career progression.

As a Platform Engineer at Deutsche Bank, you'll work with a diverse range of technologies including Java, Spring Boot, Hadoop, containers (Docker), and orchestration tools (OpenShift or Kubernetes). You will also engage with cloud services, particularly the Google Cloud Platform, as well as CI/CD tools like Jenkins and GitHub Actions, involving data processing technologies and various databases.

When answering this question, focus on specific projects where you've utilized OpenShift or Kubernetes. Discuss how you've deployed applications using these tools, managed cluster health, and ensured scalability. Highlight any challenges faced and how you overcame them, demonstrating both technical skills and problem-solving capabilities.

To ensure system reliability in a hybrid cloud setup, you could discuss your approach to monitoring system performance, using tools like Prometheus or Grafana. Explain how you implement automated testing, scaling strategies, and redundancy measures. Include examples of how you've used metrics to make informed decisions for optimizing performance.

In your response, outline your understanding of CI/CD best practices such as maintaining a clean commit history, including automated testing in the pipeline, and using feature flags for safe deployments. Share specific experiences where you've implemented these practices for successful releases.

When addressing this question, select a significant problem related to platform engineering that required innovative thinking. Describe the steps you took to analyze the issue, the solution you implemented, and the positive outcomes achieved, emphasizing your technical and analytical skills.

Discuss your dedication to continuous learning through various means such as attending workshops, participating in online courses, joining tech communities, or following industry news. Mention any specific technologies you've recently learned and how you've applied that knowledge in your work.

Talk about your practical experience with Hadoop in building scalable data processing pipelines. Share examples of projects you've worked on, focusing on your understanding of MapReduce, data storage solutions, and how you tackled data transformation challenges.

Discuss how infrastructure-as-code streamlines the provisioning and management of infrastructure through automation. Give examples of tools you have used, such as Terraform or Ansible, and emphasize the benefits like version control, repeatability, and collaboration in managing infrastructure.

Outline your understanding of essential security practices such as data encryption, secure access controls, and compliance with relevant regulations when managing hybrid cloud platforms. Discuss any specific tools or strategies you've implemented to enhance security in your past roles.

Describe your approach to working with application developers, emphasizing the importance of clear communication and collaboration. Share examples of how you’ve facilitated workshops, provided documentation, or created guidelines to ensure smooth deployment processes.

In your answer, identify common challenges such as network latency, configuration inconsistencies, or scaling issues. Discuss specific strategies you've used to address these challenges, showcasing your problem-solving skills and adaptability in cloud operations.