Cloud Consultant - (REF3371P) Szeged

Cloud Consultant - (REF3371P)
Szeged
Szeged, Csongrád, HU

Cloud Consultant - (REF3371P) 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 Cloud Consultant will work at the intersection of cloud computing, edge technologies, and sustainability, conducting in-depth research on innovative approaches to reducing the energy footprint of edge cloud infrastructures. This role involves a blend of technical research, cloud architecture design, and thought leadership in developing energy-efficient computing strategies. Your main accountabilities:  Conduct research focused on developing sustainable, energy-efficient edge cloud infrastructures. Investigate and identify emerging technologies and best practices that minimize the energy consumption of edge computing systems, including hardware, software, and network optimizations. Conduct feasibility studies, benchmarking, and performance evaluations for energy-efficient edge cloud solutionsDevelop strategies to optimize power usage in edge data centers, devices, and network nodes, leveraging techniques such as load balancing, energy-aware scheduling, and dynamic resource allocation. Collaborate with sustainability experts to incorporate green technologies and renewable energy sources into edge cloud infrastructure. Collaborate with hardware and software teams to evaluate energy-efficient hardware platforms (Processor, GPU, ECU, ) and edge-specific virtualization solutionsImplement the concept as a POC in an test environment Qualifications Experience with cloud platforms (AWS, Azure, Google Cloud) and edge platforms (AWS Greengrass, Azure IoT Edge, etc. ). Strong understanding of cloud and edge computing architectures, including virtualization, containers, and distributed systems. Familiarity with energy-efficient computing strategies, hardware optimization, and low-power systems (e. g. , ARM-based architectures). Experience with power usage optimization techniques such as load balancing, resource allocation, and energy-aware scheduling. Knowledge in data analytics, monitoring tools, and AI/ML algorithmsPrevious research experience, preferably in energy efficiency, sustainability, or green IT technologies is a plus. Passion for sustainability and a desire to apply knowledge to reduce environmental impact of cloud computing. Speak English at least on B2 level and/or German language on B2+ level