Remote Cloud Consultant

Summary

Join a dynamic team of IT professionals at Deutsche Telekom IT Solutions and contribute to the development of sustainable, energy-efficient edge cloud infrastructures as a Cloud Consultant. Conduct research, design cloud architectures, and collaborate with experts to minimize energy consumption and reduce environmental impact.

Requirements

• 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 algorithms
• Previous 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

Responsibilities

• 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 solutions
• Develop 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 solutions
• Implement the concept as a POC in an test environment