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.
About Us Amap is a leading provider of mapping and location intelligence solutions, empowering businesses globally to innovate and optimize their operations. Our Maps Open API platform delivers scalable, customizable tools for developers, enterprises, and startups to integrate advanced geospatial capabilities into their applications. Join us in shaping the future of location-based technology! Key Responsibilities 1. Drive Sales Growth: Identify and target new business opportunities for Maps Open API adoption across industries (e.g., logistics, e-commerce, mobility, IoT). 2. Client Engagement: Build and nurture relationships with key decision-makers, including CTOs, product managers, and developers, to understand their technical and business needs. 3. Solution Selling: Articulate the value of our API’s features (e.g., geocoding, routing, real-time data) through tailored demos, proposals, and ROI analysis. 4. Pipeline Management: Own the end-to-end sales cycle—from prospecting to negotiation and closing—while consistently exceeding quarterly revenue targets. 5. Cross-Functional Collaboration: Partner with product, engineering, and marketing teams to relay customer feedback and align strategies. 6. Market Insights: Monitor competitive trends, industry developments, and customer pain points to refine sales approaches. 7. Account Management: Ensure client success and renewals by addressing post-sale needs and identifying upsell opportunities.
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We are looking for an experienced Cloud Solutions Architect to join the fast growing, Tencent Cloud International. The qualified individual will support the Business Development Manager in pre-sales activities, including evaluation and qualification of customer requirement, and to provide technical advice and solutions to customers. He / She will liaise and collaborate with different Tencent Cloud technical and product teams (based in mainland China), to identify and secure domain expertise and resource, in formulating a Tencent Cloud solution to customers. 1.Become a Subject Matter Expert (SME) in the Tencent Cloud Services Platform. 2.Remove Sales obstacles by providing internal consulting, training, and knowledge support. 3.Partner with Sales to build long-term account relationships, that deliver ongoing business value. 4.Develop Tencent Cloud-based demonstrations and solutions that successfully meet customer requirements. 5.Collaborate with internal Product and Engineering teams to diagnose and resolve problem cases. 6.Contribute to solution design, technical documentation, and complete awareness within the Solutions Team.
The Role TESLA is offering a full-time IT Support DevOps AI position in the Information Technology Department (Work Location: Tesla Giga Factory Shanghai). If you are a versatile expert integrating AI development, DevOps practices—someone who can efficiently tackle challenges, solve complex technical problems in user support and experience scenarios, and reject repetitive and inefficient work patterns—this role is perfect for you. IT Support DevOps AI is a core role connecting the company’s IT systems and user-facing processes, standing at the forefront of enhanced user support implementation. You will engage in work across multiple domains, including AI technology R&D, containerized deployment, and operational support. Through technical practice, you will support the company in optimizing user interactions, improving support efficiency, and contributing to the core goal of user experience transformation. Responsibilities • Undertake AI algorithm R&D, model optimization, and training, with a strong emphasis on fine-tuning (FT), supervised fine-tuning (SFT), reinforcement learning (RL), and advanced tuning techniques; focus on user support scenarios such as data analysis, query resolution, issue detection, and automated assistance to ensure AI technology aligns with user experience needs. • Complete the deployment, monitoring, and scaling of AI solutions based on container technologies like Kubernetes (K8s) and Docker, ensuring high availability and stability of the system in the operational environment, while integrating AI underlying technologies like neural networks and Transformer architectures for efficient performance. • Participate in DevOps process development, optimize the full lifecycle of AI model and system development, testing, and deployment, and realize automated deployment, continuous integration (CI), and continuous delivery (CD), incorporating RL-based optimization and model tuning for adaptive user support systems. • Collaborate with user support-related departments such as helpdesk, customer service, and product teams to deeply understand user pain points and provide data-driven AI technical solutions, leveraging SFT and attention mechanisms to enhance personalized user experiences. • Respond quickly to technical requirements and faults in user-facing systems, troubleshoot issues in AI systems, container clusters, and network environments, minimize impacts on user interactions, and improve support efficiency and satisfaction through advanced AI tuning and underlying model diagnostics. • Track cutting-edge technologies in the AI and DevOps fields (e.g., large language models with FT/SFT/RL integration, cloud-native operations) and industry trends, promote the pre-research and application of new technologies in user support scenarios, and continuously optimize system performance using techniques like model compression and quantization.