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DevOps Engineer for Data Domain AAA @ Deutsche Telekom TSI Hungary Kft.

DevOps Engineer for Data Domain AAA @ Deutsche Telekom TSI Hungary Kft.

Deutsche Telekom TSI Hungary Kft.Debrecen, Hungary
2 napja
Munkaköri leírás

Join our international teams at Deutsche Telekom as a DevOps Engineer, within the Data Tribe. We are a leading telecommunications provider in Europe and aim to become one of the industry's top service companies worldwide. This is an exceptional opportunity to work on cutting-edge projects and contribute to Deutsche Telekom's vision of becoming a leader in the industry by harnessing the power of One Data Ecosystem. Join us and be part of a collaborative data-driven team that values innovation and human-centered technology.

Don't miss out on this opportunity to shape the future of our One Data Ecosystem at Deutsche Telekom.

Our Data Tribe's mission is to deliver business value in all strategic areas of TDG to become a real data-driven company.

In the Data Domain AAA (Architecture, Automation & AI platforms) we build future-proof, scalable and efficient Data-Driven AI & Automation Platforms.

  • Proven experience as a DevOps Engineer or in a similar role with on cloud platform experience, particularly GCP.
  • Strong expertise in setting up and managing CICD pipelines, particularly in GitLab.
  • Proficiency in Containerization tools, particularly Docker and Kubernetes
  • Hands-on experience with Infrastructure as Code (IaC) tools, especially Terraform.
  • Strong experience with programming languages like Python, Bash, SQL
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and collaboration skills to work effectively with international teams.
  • Familiarity with agile and DevOps methodologies.
  • Certifications related to Google Cloud Platform (e.g., Google Professional DevOps Engineer, Google Professional Cloud Architect).
  • Experience in managing large-scale data ecosystems.
  • Experience with further programming languages like Go, Java or JavaScript
  • Experience with data processing stack at GCP, like Dataproc, BigQuery, Composer

If you are a proactive, self-motivated DevOps Engineer with a passion for Kubernetes and a desire to collaborate in a global environment, we would love to hear from you. Join us in optimizing our applications and ensuring their success on our Kubernetes-based CaaS platform.

Join our international teams at Deutsche Telekom as a DevOps Engineer, within the Data Tribe. We are a leading telecommunications provider in Europe and aim to become one of the industry's top service companies worldwide. This is an exceptional opportunity to work on cutting-edge projects and contribute to Deutsche Telekom's vision of becoming a leader in the industry by harnessing the power of One Data Ecosystem. Join us and be part of a collaborative data-driven team that values innovation and human-centered technology.

Don't miss out on this opportunity to shape the future of our One Data Ecosystem at Deutsche Telekom.

Our Data Tribe's mission is to deliver business value in all strategic areas of TDG to become a real data-driven company.

In the Data Domain AAA (Architecture, Automation & AI platforms) we build future-proof, scalable and efficient Data-Driven AI & Automation Platforms.

As a Senior DevOps Engineer, you will support our international Cloud Enablement Team by developing & optimizing continuous integration and continuous deployment (CI / CD) processes, automated Infrastructure Management and Identity and Access Management (IAM). Your work will enable efficient deployment and integration of new Google services, while ensuring smooth collaboration across teams and tools.] Requirements : DevOps, GCP, CI / CD Pipelines, GitLab, Docker, Kubernetes, IaC, Terraform, Python, Bash, SQL, Agile, Google cloud platform, Go, Java, JavaScript, Dataproc, BigQuery, Composer Additionally : Sport subscription, Private healthcare, International projects, Training budget, Mobiltelefon, Free coffee, Canteen, Bike parking, Playroom, Shower, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.