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# MaaS Compute Resource Operations Expert/Engineer

- **Company:** Tencent
- **Location:** Frankfurt am Main, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Centers, Performance Testing, Information Technology
- **Published:** November 14, 2026
- **Apply:** https://www.adzuna.de/details/5964766333

## About the Role

1. 10+ years of experience in large-scale IT infrastructure, compute resource delivery/sourcing/supply chain management, with a complete project track record in resource planning, procurement collaboration, and delivery management. (Must)

 2. Proficient business English; able to independently conduct overseas supplier communication, business discussions, and review English materials. (Must)

 3. Familiar with the GPU market supply landscape; understand the supplier and channel systems related to mainstream products such as NVIDIA and AMD; able to assess resource availability, delivery lead times, and supply risks. (Must)

 4. Familiar with infrastructure such as GPU servers, data centers, networks, and storage; understand the deployment conditions, delivery processes, and acceptance standards of large-scale compute clusters.

 5. Understand large-model deployment and inference services; understand token metering, billing methods, and key metrics such as throughput, latency, and concurrency; able to translate business requirements into resource and cost estimates.

 6. Strong capabilities in data analysis, cost modeling, and cross-team collaboration; able to coordinate business, technical, procurement, and supplier parties to drive project implementation.

 7. Experience in compute resource operations, compute procurement, or large-scale GPU cluster delivery at cloud providers or leading large-model companies is preferred.

## Description

1. Resource Planning and Supply Strategy: Based on MaaS business development, model evolution, and resource utilization, forecast GPU compute service demand; formulate resource portfolio, supply scale, and delivery plans; and balance cost, efficiency, and supply stability.

 2. Procurement Collaboration and Delivery Assurance: Participate in GPU compute service procurement; collaborate with procurement and technical teams to define resource specifications, service standards, and acceptance requirements; assess supplier delivery capabilities; and follow up on resource arrival, service launch, and issue closure.

 3. Supply Security and Risk Management: Track market supply and demand, supplier capacity, and geopolitical compliance risks; develop multi-supplier and cross-region resource assurance plans; reasonably arrange capacity reservations and resource reserves; and reduce the risks of supply interruption and resource idling.

 4. Technical Collaboration and End-to-End Acceptance: Collaborate with technical teams to complete GPU selection and evaluation of supporting solutions for data centers, networks, and storage; follow up end-to-end on resource delivery, performance testing, and acceptance; and ensure compliance with model deployment and inference service requirements.