Professional Services III - AMZ13521.11

Amazon · US, WA, Seattle · 5-8 years · Full-time

Key skills

  • Machine Learning
  • AWS
  • Redshift

Job description

Employer: Amazon Web Services, Inc.

Position: Professional Services III - AMZ13521.11

Location: Seattle, WA

Multiple Positions Available:

  • Develop, deliver and implement AI, IOT, and data analytics

projects that help customers leverage their data to develop

business insights.

  • Focus on customer solutions such as machine learning, IoT,

batch/real-time data processing, data and business intelligence.

  • Collaborate with AWS field sales, pre-sales, training and support

teams to help partners and customers learn and use AWS

services such as Athena, Glue, Lambda, S3, DynamoDB,

NoSQL, Relational Database Service (RDS), Amazon EMR and

Amazon Redshift.

  • Deliver on-site technical engagements with partners and

customers. This includes participating in pre-sales on-site visits,

understanding customer requirements, creating packaged Data

& Analytics service offerings.

  • Engage in short on-site projects proving the use of AWS services

to support new distributed computing solutions that often span

private cloud and public cloud services. Engagements include

migration of existing applications and development of new

applications using AWS cloud services.

  • Work with AWS engineering and support teams to convey

partner and customer needs and feedback as input to technology

roadmaps.

  • Share real world implementations and recommend new

capabilities that would simplify adoption and drive greater value

from use of AWS cloud services.

  • Engaging with the customer's business and technology

stakeholders to create a compelling vision of a data-driven

enterprise in their environment.

  • 100% telecommuting permitted, work may be performed from

anywhere in the U.S.

(40 hours / week, 8:00am-5:00pm, Salary Range $153600 - $207800)

Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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