AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs, as part of AWS, is looking for a Server K2 card Engineering Vendor & Infra lead to be part of defining, shaping and integrating solutions to next generation of our cloud platforms. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.
Key job responsibilities
- Own K2 Vendor management: own vendor engineering logistics, samples management (order/allocation), RFP/Awards/$$, monitoring, planning (w Supply Chain global org), actual on-ground visits to monitor health, 2nd source components needs mapping (into the NPI team), vendor qual planning (cards per vendors).
- Own Engineering infra: test servers, test-stations, as integrator and first line towards Servers ODM, Data Center Operations (DCO), Network Engineering and K2 Quality and Reliability team.
- Collaborate cross-functionally with hardware engineering, firmware, capacity planning, and infrastructure operations to align deployment readiness with business objectives.
- Lead continuous improvement initiatives across Vendor selection, Vendor Management, Engineering Samples & Development Servers Processes.- At least 8 years of System Operations experience - managing Vendors engagement processes and operations (such as samples management, negotiating RnD expenses, etc).
- Leading new Vendor selection and qualification.
- B.Sc. in Engineering.- Experience with Mass Production
- Experience with PCIe add-in cards or Mezz cards design or architecture
- Experience with servers (x86 / ARM / Machine learning) design or architecture
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