Company Description

The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH was awarded with the Best in Educational Cooperation prize by HIPA in 2019, acknowledged as one of the most attractive workplaces by PwC Hungary’s independent survey in 2021 and rewarded with the title of the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

Job Description

The Public Cloud Portfolio Unit operates on a national and international level, for medium-sized and large companies. We develop, market and operate agile, cloud-native, forward-looking products and services for the digital world. We see ourselves as innovation drivers and make our customers' business fit for the digital future. Our mission: Together with our customer, shaping the safest, easiest and most efficient transformation to a digitized and cloud-native future.

Your Department

We run Open Telekom Cloud! Open Telekom Cloud is a public cloud standard product based on open source community software and driven by principles of DevSecOps. Lean structures, agile methods, highly motivated teams and an extremely dynamic business environment determine our actions. With this customer-oriented and agile orientation, we are the anchor point for the Public Cloud business in Deutsche Telekom Group.

We are measured by delivering a secure, stable and innovative platform. We work jointly with our platform partner and other partners out of the OpenStack ecosystem to create a highly innovative public cloud product based on European security and data protection standards.

We are looking for people who are professionals and evangelists with a great deal of enthusiasm for cloud technology and who are up to the challenges created by the development and operation of a hyper-scale public cloud.

We offer a unique insight into how a large public cloud works under the hood, intercultural teamwork, flat hierarchies, and an independent working-style.

Your Tasks

As an "Expert BigData & AI Public Cloud" you understand the latest developments in Cloud, BigData and Artificial Intelligence. You will further develop the data-driven services of our Open Telekom Cloud platform in a customer-oriented manner.

Do you like?

  • Develop and operate data services that Data Scientists will enjoy using.
  • Implement Artificial Intelligence and Machine Learning services.
  • Solve complex problems in the day-to-day operation of a hyper-scaler's cloud backend.
  • Consistently automate with common automation frameworks.
  • Be a trusted advisor for OpenStack-based public cloud technology.
  • Work in a team of specialists where everyone helps each other in an open and trusting manner.

Qualifications

Your Profile

  • Completed studies in a technical, engineering or scientific subject or comparable professional training.
  • 5-7 years of professional experience in IT with a focus on modern cloud technologies.
  • Deep knowledge of Machine Learning, Data Mining and Information Retrieval.
  • Knowledge of Big Data concepts and data warehouse development processes.
  • Practice with dashboards.
  • High level of customer focus.
  • Knowledge of agile development processes.
  • Ability to assess technical solutions and come up with creative approaches.
  • OpenStack and programming experience in open source projects is a plus.
  • Fluency in written and spoken English.
  • You will be working in the European Union to meet our customers' data security and privacy requirements.

Additional Information

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

Location

Budapest, Debrecen, Szeged, Pécs, Hungary

Job Overview
Job Posted:
9 months ago
Job Expires:
Job Type
Full Time

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