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Amazon in Santa Clara is seeking a Senior Program Manager to own planning, deployment, and decommissioning of the ML network infrastructure across data centers, coordinating with multiple teams to ensure capacity and performance.
You will collaborate with infrastructure, supply chain, finance, and software groups to deliver ML network at scale, from planning through turn-up to end-of-life removal, while maintaining reliability and cost controls.
In this role, you will own the planning, deployment, and decommissioning of AWS's ML network — the infrastructure that ensures our customers have the right compute capacity, in the right locations, at the right time to meet accelerating demand for machine learning workloads. You will partner across infrastructure, supply chain, finance, and software organizations to deliver ML network at scale, from initial capacity planning through rack turn-up to end-of-life removal.
AWS Network Fabric Engineering (NFE) owns data center network services that provide unconstrained connectivity to our customers, such as EC2, EBS, S3 and Amazon CDO Services. They own the networks internal to the data centers end to end, including scaling and operational functions, for both traditional data centers. They also own newer AWS offerings such as Outposts and Local Zones. Working at AWS in the Core Networking Team
- Meet Matt, VP, Core Networking --- https://youtu.be/DqTStjRtjX4- Meet Kensie, Network Development Engineer --- https://youtu.be/ezF3kpUAhWU
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Santa Clara - 171,000.00 - 231,400.00 USD annually