亚马逊Network Technician, AWS Infra Delivery
任职要求
基本任职资格
• AS/BS in Information Systems, Computer Science or Information Assurance;3-5+ years of mid-level and/or enterprise experience as a technician or engineer in a highly dynamic environment; or an equivalent combination of education and experience.
• Knowledge of TCP/IP networking and routing protocols, network cabling, optic types, and test equipment, such as VFL, Power meter, and OTDR;
• Experience with cabling infrastructure best practices and methodologies, and troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low to mid-level application interaction
优先任职资格
• Comfortability with medium to large, complex project scopes and ambiguous details within work environment;
• Excellent judgement and analytical skills, ability to prioritize tasks based on fluctuating needs;
• Strong understanding of major Command…工作职责
1. The position responsibilities involve delivering the hardware, configuration and fiber connectivity of interdependent scaling projects across several data center locations. The Network Technician will work closely with both internal customers and external vendors to facilitate smooth project execution in association with Technical Program Managers. 2. Network cabling infrastructure planning, coordination, installation , and decommission. 3. Network device deployment, turn up, and decommission. 4. Emergent Scaling Response. 5. New network hardware review. 6. New network hardware training, and support documentation for deployment and support. 7. Maintaining & Revising Standards and Procedures for Network HW, cabling and labeling standards within Network rooms, in collaboration with our customers. 8. Network Room Maintenance, Retrofitting, and Upgrades, in collaboration with our partners 9. New Network Room/Area design, in collaboration with our customers.
1. Strategic Planning & Design Management - Contribute in developing comprehensive 6-8 months network implementation roadmaps aligned with AWS DC expansion targets - Create and optimize network position layouts and rack placement strategies for data centre floor space utilization - Review and contribute to High-Level Design (HLD) documentation - Coordinate with engineering teams to validate technical requirements and design specifications - Develop capacity planning models to ensure infrastructure scalability - Create standardized planning templates and methodologies for network implementations 2. Project & Resource Management - Lead end-to-end project planning for multiple concurrent network implementation initiatives - Develop and maintain detailed project schedules, milestones, and dependencies - Manage project scope, and quality parameters - Conduct risk assessments and develop mitigation strategies - Improvise and optimize planning by incorporating lessons learnt of latest deployed projects, iteratively. - Coordinate across cross-functional teams to ensure alignment on project deliverables - Track and report weekly project progress and/or otherwise informed to key stakeholders 3. Supply Chain & Inventory Planning - Develop project inventory forecasts and requirements - Optimize developed counts by utilizing prior surplus spares. - Coordinate with procurement teams for strategic resource acquisition - Manage vendor relationships and delivery schedules - Establish and stick to procurement timelines aligned with project schedules 4. Program Governance & Process Excellence - Establish and maintain project management frameworks and best practices - Develop sustainable and repeatable planning processes - Create and maintain project documentation and reporting standards - Drive continuous improvement initiatives in planning methodologies - Build and maintain stakeholder communication channels - Coordinate with regional teams for standardized planning approaches and optimized lesson learnt based iterative optimized planning.
*Hiring location: Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong(visa sponsorship provided) Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS) and help shape the future of GPU optimization and high-performance computing? Join us in helping customers across all industries to maximize the performance and efficiency of their GPU workloads on AWS while pioneering innovative optimization solutions. As a Senior Technical Account Manager (Sr. TAM) specializing in GPU Optimization in AWS Enterprise Support, you will play a crucial role in two key missions: guiding customers' GPU acceleration initiatives across AWS's comprehensive compute portfolio, and spearheading the development of optimization strategies that revolutionize customer workload performance. Key Job Responsibilities - Build and maintain long-term technical relationships with enterprise customers, focusing on GPU performance optimization and resource allocation efficiency on AWS cloud or similar cloud services. - Analyze customers’ current architecture, models, data pipelines, and deployment patterns; create a GPU bottleneck map and measurable KPIs (e.g., GPU utilization, throughput, P95/P99 latency, cost per unit). - Design and optimize GPU resource usage on EC2/EKS/SageMaker or equivalent cloud compute, container, and ML services; implement node pool tiering, Karpenter/Cluster Autoscaler tuning, auto scaling, and cost governance (Savings Plans/RI/Spot/ODCR or equivalent). - Drive GPU partitioning and multi-tenant resource sharing strategies to reduce idle resources and increase overall cluster utilization. - Guide customers in PyTorch/TensorFlow performance tuning (DataLoader optimization, mixed precision, gradient accumulation, operator fusion, torch.compile) and inference acceleration (ONNX, TensorRT, CUDA Graphs, model compression). - Build GPU observability and monitoring systems (nvidia-smi, CloudWatch or equivalent monitoring tools, profilers, distributed communication metrics) to align capacity planning with SLOs. - Ensure compatibility across GPU drivers, CUDA, container runtimes, and frameworks; standardize change management and rollback processes. - Collaborate with cloud provider internal teams and external partners (NVIDIA, ISVs) to resolve cross-domain complex issues and deliver repeatable optimization solutions. ------------------------------------------------------
Provide expert-level technical support for the Amazon Ads API, assisting partners with integration, complex data queries, best practices, and troubleshooting of technical issues. Diagnose, replicate, and resolve intricate API-related problems, including issues related to requests/responses, authentication, throttling, latency, and reporting. Serve as the primary technical liaison, communicating clearly and effectively with external partners/developers and collaborating closely with internal Product and Engineering teams to escalate bugs and drive feature improvements. Develop, maintain, and contribute to technical documentation, FAQs, tutorials, and code samples (e.g., Python, Java, or JavaScript snippets) to improve the self-service experience for the developer community. Monitor API usage trends, identify recurring technical patterns, and proactively implement tooling or process improvements to enhance the overall health and stability of the Ads API ecosystem. Participate in an on-call rotation for high-severity incident management, ensuring rapid response and communication for critical partner issues. A day in the life Technical support: Troubleshoot and resolve issues related to API integration, performance, and functionality for external developers. Problem-solving: Analyze complex technical issues, diagnose root causes, and implement solutions. This can involve analyzing RESTful API calls and debugging technical systems. Process and documentation: Drive projects to improve support processes, optimize services, and maintain technical documentation. Collaboration: Work with engineering teams to resolve bugs and advocate for improvements based on partner feedback. Mentorship: Act as a high-level technical expert to mentor and train other support teams. Strategic input: Translate partner needs and data into actionable insights and influence product roadmaps.
